--------------------------------------------------------------------------------------------------------------------------- name: log: C:\Users\320491\Desktop\Final NBER\bartik_regressions.log log type: text opened on: 10 Jun 2019, 21:41:23 . local path_folder "C:\Users\320491\Desktop\Final NBER" . local fig_folder "\Figures" . local dataset "\mergedData.dta" . . *Load dataset and drop repeat MSAs . clear all . cd "`path_folder'" C:\Users\320491\Desktop\Final NBER . use "`path_folder'`dataset'" . drop if area_id==6 | area_id==7 | area_id==27 (210 observations deleted) . /* Washington-Baltimore | LA-Riverside | Riverside */ . . *Generate seasonal dummies . tabulate area_id if halfyear==2, gen(seas) MSA ID | Freq. Percent Cum. ------------+----------------------------------- 1 | 35 3.57 3.57 2 | 35 3.57 7.14 3 | 35 3.57 10.71 4 | 35 3.57 14.29 5 | 35 3.57 17.86 8 | 35 3.57 21.43 9 | 35 3.57 25.00 10 | 35 3.57 28.57 11 | 35 3.57 32.14 12 | 35 3.57 35.71 13 | 35 3.57 39.29 14 | 35 3.57 42.86 15 | 35 3.57 46.43 16 | 35 3.57 50.00 17 | 35 3.57 53.57 18 | 35 3.57 57.14 19 | 35 3.57 60.71 20 | 35 3.57 64.29 21 | 35 3.57 67.86 22 | 35 3.57 71.43 23 | 35 3.57 75.00 24 | 35 3.57 78.57 25 | 35 3.57 82.14 26 | 35 3.57 85.71 28 | 35 3.57 89.29 29 | 35 3.57 92.86 30 | 35 3.57 96.43 31 | 35 3.57 100.00 ------------+----------------------------------- Total | 980 100.00 . foreach var of varlist seas* { 2. replace `var'=0 if `var'==. 3. } (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) (980 real changes made) . . g d2yrfed=100*(ln(rfed)-ln(l4.rfed))/2 (112 missing values generated) . g d3yrfed=100*(ln(rfed)-ln(l6.rfed))/3 (168 missing values generated) . g d2yrdef=100*(ln(rdef)-ln(l4.rdef))/2 (112 missing values generated) . g d3yrdef=100*(ln(rdef)-ln(l6.rdef))/3 (168 missing values generated) . . g bartik_mp5y=(bartik_mp+l.bartik_mp+l2.bartik_mp+l3.bartik_mp /// > +l4.bartik_mp+l5.bartik_mp+l6.bartik_mp+l7.bartik_mp /// > +l8.bartik_mp+l9.bartik_mp)/10 (280 missing values generated) . . g bartik_mp3y=(bartik_mp+l.bartik_mp+l2.bartik_mp+l3.bartik_mp /// > +l4.bartik_mp+l5.bartik_mp)/6 (168 missing values generated) . . g bartik_3y=(bartik+l.bartik+l2.bartik+l3.bartik /// > +l4.bartik+l5.bartik)/6 (168 missing values generated) . . g bartik_defmp3y=(bartik_defmp+l.bartik_defmp+l2.bartik_defmp+ /// > l3.bartik_defmp+l4.bartik_defmp+l5.bartik_defmp)/6 (168 missing values generated) . . g bartik_defmp2y=(bartik_defmp+l.bartik_defmp+l2.bartik_defmp+ /// > l3.bartik_defmp)/4 (112 missing values generated) . /* > foreach var of varlist bartik_mp3y bartik_mp5y bartik_3y bartik_defmp3y /// > bartik_defmp2y bartik_defmp bartik_mp bartik { > egen temp_sd = sd(`var') > replace `var'=`var'/temp_sd > drop temp_sd > } > */ . *Select regression variables . local inf_var pic . local ygap_var ur . local controls lpic epi . local instrument bartik_mp3y . . ******************************************************************************* . ************************************TABLE 4************************************ . ******************************************************************************* . local tab3_options /// > keep(`ygap_var' `controls') nocons tex label /// > groupvar(`ygap_var' `inf_var' `controls') bracket bdec(3) . local sample if year <2018 . local outputname "\iv_table.tex" . . *Pooled . regress `inf_var' `ygap_var' `controls' /// > seas1-seas28 `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 3, 27) = . Prob > F = . R-squared = 0.3214 Root MSE = 1.2064 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.1501423 .0164646 -9.12 0.000 -.1839248 -.1163597 lpic | .3621619 .0353837 10.24 0.000 .2895607 .4347632 epi | .597806 .0578866 10.33 0.000 .4790324 .7165795 seas1 | -.3151927 .0662362 -4.76 0.000 -.451098 -.1792873 seas2 | -1.010263 .0688015 -14.68 0.000 -1.151432 -.869094 seas3 | -.9686837 .0693178 -13.97 0.000 -1.110912 -.8264554 seas4 | -.3723464 .0708979 -5.25 0.000 -.517817 -.2268758 seas5 | -1.045359 .0702282 -14.89 0.000 -1.189456 -.901263 seas6 | .0621659 .063407 0.98 0.336 -.0679344 .1922663 seas7 | -.33346 .0702985 -4.74 0.000 -.4777006 -.1892193 seas8 | -.3355856 .062529 -5.37 0.000 -.4638844 -.2072867 seas9 | .0087665 .0684184 0.13 0.899 -.1316165 .1491495 seas10 | -.5957897 .0639358 -9.32 0.000 -.7269751 -.4646042 seas11 | -.4553981 .0624278 -7.29 0.000 -.5834893 -.3273068 seas12 | -.9471664 .0790564 -11.98 0.000 -1.109377 -.784956 seas13 | -1.104769 .0659134 -16.76 0.000 -1.240012 -.969526 seas14 | -.8169601 .0770234 -10.61 0.000 -.9749992 -.6589211 seas15 | -1.029344 .0662538 -15.54 0.000 -1.165286 -.8934024 seas16 | -1.561086 .0652024 -23.94 0.000 -1.69487 -1.427302 seas17 | -1.081126 .0639596 -16.90 0.000 -1.21236 -.9498919 seas18 | -.6055499 .0670366 -9.03 0.000 -.7430976 -.4680023 seas19 | -.8003402 .0691958 -11.57 0.000 -.9423181 -.6583622 seas20 | -1.174275 .0641108 -18.32 0.000 -1.305819 -1.04273 seas21 | -1.760853 .0641791 -27.44 0.000 -1.892538 -1.629168 seas22 | -.5045636 .0716745 -7.04 0.000 -.6516275 -.3574997 seas23 | -.7020793 .0615965 -11.40 0.000 -.828465 -.5756937 seas24 | -.5440749 .0662004 -8.22 0.000 -.6799068 -.408243 seas25 | -.1786924 .0658746 -2.71 0.011 -.3138559 -.0435289 seas26 | -.6610739 .0645955 -10.23 0.000 -.7936129 -.528535 seas27 | -.7376629 .0775894 -9.51 0.000 -.8968633 -.5784626 seas28 | -.5792866 .0642626 -9.01 0.000 -.7111425 -.4474307 _cons | .9074666 .2263514 4.01 0.000 .4430318 1.371901 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`outputname'", /// > replace title(Inflation lags) `tab3_options' /// > addtext("Metro area FE", "No", "Year FE", "No", "Seasonal dummies", "Yes") C:\Users\320491\Desktop\Final NBER\Figures\iv_table.tex dir : seeout . . *With Metro area FE . regress `inf_var' `ygap_var' `controls' /// > seas1-seas28 i.area_id `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 2, 27) = . Prob > F = . R-squared = 0.3500 Root MSE = 1.1915 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.1623695 .0192718 -8.43 0.000 -.201912 -.1228271 lpic | .3714011 .0360991 10.29 0.000 .2973319 .4454702 epi | .5889676 .0587952 10.02 0.000 .4683298 .7096055 seas1 | -.2031666 .0111102 -18.29 0.000 -.2259628 -.1803704 seas2 | -.870185 .0177818 -48.94 0.000 -.9066702 -.8336997 seas3 | -.9429332 .019803 -47.62 0.000 -.9835655 -.9023009 seas4 | .2021465 .0135294 14.94 0.000 .1743866 .2299065 seas5 | -.8113729 .0163385 -49.66 0.000 -.8448968 -.7778489 seas6 | .1453449 .0128185 11.34 0.000 .1190435 .1716463 seas7 | -.0089762 .0062573 -1.43 0.163 -.0218152 .0038627 seas8 | -.5141894 .0080235 -64.09 0.000 -.5306523 -.4977265 seas9 | .6026618 .0209552 28.76 0.000 .5596653 .6456584 seas10 | -.4328327 .0093484 -46.30 0.000 -.452014 -.4136514 seas11 | -.4122736 .0072345 -56.99 0.000 -.4271175 -.3974296 seas12 | -.6550785 .0117743 -55.64 0.000 -.6792373 -.6309196 seas13 | -1.119713 .0226674 -49.40 0.000 -1.166222 -1.073203 seas14 | -.4682843 .0066363 -70.56 0.000 -.4819009 -.4546677 seas15 | -1.935932 .0504465 -38.38 0.000 -2.039439 -1.832424 seas16 | -1.909735 .0491697 -38.84 0.000 -2.010623 -1.808847 seas17 | -1.438467 .0402365 -35.75 0.000 -1.521025 -1.355908 seas18 | -.3709185 .0059893 -61.93 0.000 -.3832075 -.3586295 seas19 | -.545484 .013479 -40.47 0.000 -.5731407 -.5178273 seas20 | -1.644442 .041249 -39.87 0.000 -1.729078 -1.559806 seas21 | -2.149949 .063203 -34.02 0.000 -2.279631 -2.020267 seas22 | -.8217663 .0201438 -40.80 0.000 -.8630979 -.7804346 seas23 | -1.124403 .0285398 -39.40 0.000 -1.182962 -1.065844 seas24 | -.8471917 .0216777 -39.08 0.000 -.8916707 -.8027127 seas25 | -.1143842 .0022291 -51.31 0.000 -.118958 -.1098104 seas26 | -1.14234 .0271455 -42.08 0.000 -1.198038 -1.086642 seas27 | -.4724206 .0073142 -64.59 0.000 -.4874282 -.4574131 seas28 | -.6223135 .0147235 -42.27 0.000 -.6525236 -.5921033 | area_id | 2 | -.0265278 .0290188 -0.91 0.369 -.0860694 .0330137 3 | .0817549 .0281755 2.90 0.007 .0239435 .1395662 4 | -.4594235 .0131402 -34.96 0.000 -.486385 -.4324619 5 | -.1225113 .0343766 -3.56 0.001 -.1930463 -.0519763 8 | .033173 .0144657 2.29 0.030 .0034919 .0628541 9 | -.2177972 .0164544 -13.24 0.000 -.2515588 -.1840355 10 | .2981631 .0077968 38.24 0.000 .2821653 .3141608 11 | -.4749772 .0038154 -124.49 0.000 -.4828059 -.4671486 12 | -.0372479 .0167216 -2.23 0.034 -.0715578 -.002938 13 | .0930864 .0247094 3.77 0.001 .0423869 .1437859 14 | -.1977325 .0398365 -4.96 0.000 -.2794703 -.1159946 15 | .1300604 .029664 4.38 0.000 .0691948 .1909259 16 | -.25218 .039637 -6.36 0.000 -.3335083 -.1708517 17 | 1.023113 .0188501 54.28 0.000 .9844357 1.06179 18 | .461603 .050678 9.11 0.000 .3576204 .5655855 19 | .4703151 .0276752 16.99 0.000 .4135304 .5270998 20 | -.1213107 .0175029 -6.93 0.000 -.1572238 -.0853976 21 | -.1429897 .0310764 -4.60 0.000 -.2067533 -.0792261 22 | .5830384 .0310584 18.77 0.000 .5193118 .6467651 23 | .5082091 .0687073 7.40 0.000 .3672332 .6491849 24 | .4135361 .0216343 19.11 0.000 .3691462 .457926 25 | .5524837 .0220224 25.09 0.000 .5072974 .5976699 26 | .4100356 .0154573 26.53 0.000 .3783199 .4417513 28 | .0447528 .0122898 3.64 0.001 .0195362 .0699694 29 | .5937757 .0089498 66.35 0.000 .5754122 .6121392 30 | -.1729417 .0414248 -4.17 0.000 -.2579384 -.087945 31 | .1597333 .0125174 12.76 0.000 .1340498 .1854168 | _cons | .864433 .2064101 4.19 0.000 .4409144 1.287952 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`outputname'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "No", "Seasonal dummies", "Yes") C:\Users\320491\Desktop\Final NBER\Figures\iv_table.tex dir : seeout . . *With Year FE . regress `inf_var' `ygap_var' `controls' /// > seas1-seas28 i.year `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.4502 Root MSE = 1.0958 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.2723167 .0362048 -7.52 0.000 -.3466027 -.1980306 lpic | .1222907 .0350557 3.49 0.002 .0503623 .1942191 epi | .2586897 .1474998 1.75 0.091 -.0439548 .5613341 seas1 | -.3062066 .0798264 -3.84 0.001 -.4699968 -.1424165 seas2 | -1.036547 .0771801 -13.43 0.000 -1.194907 -.8781864 seas3 | -.9796189 .0831362 -11.78 0.000 -1.1502 -.8090375 seas4 | -.442731 .0771683 -5.74 0.000 -.6010672 -.2843948 seas5 | -1.09653 .0797868 -13.74 0.000 -1.260239 -.9328212 seas6 | .1790412 .0752089 2.38 0.025 .0247253 .3333571 seas7 | -.4097872 .08676 -4.72 0.000 -.5878041 -.2317703 seas8 | -.1785009 .0776966 -2.30 0.030 -.3379212 -.0190807 seas9 | -.0511335 .0767397 -0.67 0.511 -.2085905 .1063235 seas10 | -.5098389 .0719286 -7.09 0.000 -.6574241 -.3622536 seas11 | -.2594398 .0811608 -3.20 0.004 -.425968 -.0929116 seas12 | -1.087177 .1075435 -10.11 0.000 -1.307838 -.8665159 seas13 | -1.063734 .0748828 -14.21 0.000 -1.217381 -.9100874 seas14 | -.9118353 .1026778 -8.88 0.000 -1.122513 -.7011579 seas15 | -.6478687 .0837138 -7.74 0.000 -.8196352 -.4761021 seas16 | -1.463952 .0763423 -19.18 0.000 -1.620594 -1.307311 seas17 | -.61609 .0882231 -6.98 0.000 -.7971088 -.4350713 seas18 | -.5732334 .0764114 -7.50 0.000 -.7300167 -.4164502 seas19 | -.8154971 .0786694 -10.37 0.000 -.9769134 -.6540808 seas20 | -.9822791 .0775333 -12.67 0.000 -1.141364 -.8231939 seas21 | -1.377609 .0889007 -15.50 0.000 -1.560018 -1.195199 seas22 | -.4245592 .0976858 -4.35 0.000 -.6249939 -.2241245 seas23 | -.4196596 .0826422 -5.08 0.000 -.5892274 -.2500919 seas24 | -.3993898 .0832435 -4.80 0.000 -.5701914 -.2285882 seas25 | -.0990654 .0805861 -1.23 0.230 -.2644144 .0662836 seas26 | -.4285826 .0803556 -5.33 0.000 -.5934586 -.2637066 seas27 | -.845671 .1090597 -7.75 0.000 -1.069443 -.621899 seas28 | -.5079377 .0746136 -6.81 0.000 -.6610322 -.3548431 | year | 1991 | -.2720324 .2432793 -1.12 0.273 -.7712003 .2271354 1992 | -.8901826 .3006004 -2.96 0.006 -1.506964 -.2734015 1993 | -1.233855 .3050434 -4.04 0.000 -1.859752 -.6079573 1994 | -1.620059 .3182666 -5.09 0.000 -2.273088 -.9670297 1995 | -1.845544 .3203689 -5.76 0.000 -2.502887 -1.188202 1996 | -2.141291 .3083248 -6.94 0.000 -2.773921 -1.508661 1997 | -2.504356 .3503712 -7.15 0.000 -3.223259 -1.785454 1998 | -2.325029 .3604648 -6.45 0.000 -3.064641 -1.585416 1999 | -2.601738 .3799369 -6.85 0.000 -3.381304 -1.822172 2000 | -2.17912 .3248814 -6.71 0.000 -2.845721 -1.512518 2001 | -1.836693 .380251 -4.83 0.000 -2.616903 -1.056482 2002 | -1.970063 .3427597 -5.75 0.000 -2.673348 -1.266778 2003 | -2.846717 .2920205 -9.75 0.000 -3.445894 -2.247541 2004 | -2.622967 .3149364 -8.33 0.000 -3.269164 -1.976771 2005 | -2.498545 .2186324 -11.43 0.000 -2.947142 -2.049948 2006 | -1.941626 .3360646 -5.78 0.000 -2.631174 -1.252078 2007 | -2.571942 .2727654 -9.43 0.000 -3.13161 -2.012273 2008 | -2.423062 .2734497 -8.86 0.000 -2.984135 -1.86199 2009 | -1.733533 .3717296 -4.66 0.000 -2.496259 -.9708066 2010 | -2.329952 .3954592 -5.89 0.000 -3.141367 -1.518537 2011 | -1.671002 .2722053 -6.14 0.000 -2.229521 -1.112483 2012 | -1.757547 .2938439 -5.98 0.000 -2.360465 -1.154629 2013 | -2.109094 .3070702 -6.87 0.000 -2.73915 -1.479038 2014 | -2.52692 .3191798 -7.92 0.000 -3.181823 -1.872017 2015 | -2.388409 .350982 -6.80 0.000 -3.108565 -1.668253 2016 | -2.207556 .3609407 -6.12 0.000 -2.948145 -1.466967 2017 | -2.810824 .4128027 -6.81 0.000 -3.657825 -1.963823 | _cons | 5.159798 .7175983 7.19 0.000 3.687408 6.632188 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`outputname'", /// > append `tab3_options' /// > addtext("Metro area FE", "No", "Year FE", "Yes", "Seasonal dummies", "Yes") C:\Users\320491\Desktop\Final NBER\Figures\iv_table.tex dir : seeout . . *With Metro area FE and Year FE . regress `inf_var' `ygap_var' `controls' /// > seas1-seas28 i.year i.area_id `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.4871 Root MSE = 1.0683 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3793637 .0518973 -7.31 0.000 -.4858482 -.2728792 lpic | .105313 .0339405 3.10 0.004 .0356729 .1749531 epi | .2247839 .1414511 1.59 0.124 -.0654497 .5150175 seas1 | -.3359218 .0302937 -11.09 0.000 -.3980794 -.2737641 seas2 | -.857919 .0335624 -25.56 0.000 -.9267834 -.7890546 seas3 | -.8941184 .0318281 -28.09 0.000 -.9594242 -.8288126 seas4 | .0651142 .0201898 3.23 0.003 .0236882 .1065402 seas5 | -.7332271 .0206104 -35.58 0.000 -.7755162 -.6909379 seas6 | -.0123268 .0259198 -0.48 0.638 -.0655099 .0408563 seas7 | -.0886422 .0141543 -6.26 0.000 -.1176845 -.0595999 seas8 | -.5024068 .0134293 -37.41 0.000 -.5299615 -.4748521 seas9 | .4119534 .0220395 18.69 0.000 .3667322 .4571747 seas10 | -.4957849 .0250405 -19.80 0.000 -.5471638 -.444406 seas11 | -.3930547 .012012 -32.72 0.000 -.4177014 -.368408 seas12 | -.6565348 .0238132 -27.57 0.000 -.7053955 -.6076741 seas13 | -1.004533 .0271634 -36.98 0.000 -1.060268 -.9487984 seas14 | -.4319071 .0090603 -47.67 0.000 -.4504973 -.4133169 seas15 | -1.520255 .048902 -31.09 0.000 -1.620594 -1.419916 seas16 | -1.547247 .0472378 -32.75 0.000 -1.644171 -1.450323 seas17 | -1.1322 .0388937 -29.11 0.000 -1.212003 -1.052396 seas18 | -.3567913 .010679 -33.41 0.000 -.3787028 -.3348799 seas19 | -.4542545 .0145681 -31.18 0.000 -.4841457 -.4243633 seas20 | -1.331032 .0396275 -33.59 0.000 -1.412341 -1.249723 seas21 | -1.668249 .0595684 -28.01 0.000 -1.790474 -1.546025 seas22 | -.7503297 .027029 -27.76 0.000 -.8057887 -.6948707 seas23 | -.9102521 .0264567 -34.41 0.000 -.9645368 -.8559674 seas24 | -.7000006 .0202672 -34.54 0.000 -.7415855 -.6584157 seas25 | -.140465 .007385 -19.02 0.000 -.1556177 -.1253123 seas26 | -.9412593 .0251259 -37.46 0.000 -.9928134 -.8897051 seas27 | -.4318373 .0072415 -59.63 0.000 -.4466956 -.416979 seas28 | -.709804 .0401046 -17.70 0.000 -.7920919 -.6275162 | year | 1991 | -.1608141 .2377032 -0.68 0.504 -.6485407 .3269126 1992 | -.7463096 .2895393 -2.58 0.016 -1.340395 -.1522241 1993 | -1.144708 .2909497 -3.93 0.001 -1.741687 -.5477281 1994 | -1.618626 .3101507 -5.22 0.000 -2.255003 -.9822492 1995 | -1.903488 .3195638 -5.96 0.000 -2.559178 -1.247797 1996 | -2.224632 .3061523 -7.27 0.000 -2.852805 -1.59646 1997 | -2.641424 .3555045 -7.43 0.000 -3.370859 -1.911989 1998 | -2.52296 .374723 -6.73 0.000 -3.291828 -1.754092 1999 | -2.833267 .3913759 -7.24 0.000 -3.636304 -2.03023 2000 | -2.392793 .339597 -7.05 0.000 -3.089588 -1.695997 2001 | -1.979163 .387794 -5.10 0.000 -2.77485 -1.183475 2002 | -1.996183 .3351129 -5.96 0.000 -2.683778 -1.308589 2003 | -2.87163 .294163 -9.76 0.000 -3.475202 -2.268057 2004 | -2.686835 .3180814 -8.45 0.000 -3.339484 -2.034186 2005 | -2.588352 .2240894 -11.55 0.000 -3.048145 -2.128559 2006 | -2.075614 .3465899 -5.99 0.000 -2.786758 -1.36447 2007 | -2.705656 .2796501 -9.68 0.000 -3.27945 -2.131861 2008 | -2.41042 .279821 -8.61 0.000 -2.984565 -1.836275 2009 | -1.429842 .3672134 -3.89 0.001 -2.183302 -.6763825 2010 | -1.997364 .4083383 -4.89 0.000 -2.835205 -1.159523 2011 | -1.3836 .2942849 -4.70 0.000 -1.987423 -.7797773 2012 | -1.565359 .3045282 -5.14 0.000 -2.190199 -.9405187 2013 | -1.993676 .3131923 -6.37 0.000 -2.636294 -1.351059 2014 | -2.529922 .3260496 -7.76 0.000 -3.198921 -1.860924 2015 | -2.500462 .3552196 -7.04 0.000 -3.229312 -1.771612 2016 | -2.356891 .3707164 -6.36 0.000 -3.117538 -1.596244 2017 | -3.009074 .4207541 -7.15 0.000 -3.87239 -2.145758 | area_id | 2 | -.2230104 .0271135 -8.23 0.000 -.2786427 -.1673781 3 | -.1604877 .0340228 -4.72 0.000 -.2302966 -.0906787 4 | -.5563907 .0211294 -26.33 0.000 -.5997446 -.5130368 5 | -.4270753 .0414233 -10.31 0.000 -.5120689 -.3420817 8 | .2110312 .0242099 8.72 0.000 .1613566 .2607058 9 | -.4070224 .0431248 -9.44 0.000 -.4955072 -.3185377 10 | .3815969 .021747 17.55 0.000 .3369757 .4262182 11 | -.4730458 .0071724 -65.95 0.000 -.4877623 -.4583293 12 | .0452851 .0437044 1.04 0.309 -.044389 .1349591 13 | .2863894 .0726172 3.94 0.001 .1373913 .4353875 14 | -.6200713 .0866248 -7.16 0.000 -.7978107 -.4423319 15 | -.074647 .0277711 -2.69 0.012 -.1316285 -.0176655 16 | -.6475343 .0922145 -7.02 0.000 -.8367428 -.4583258 17 | .9615073 .0232966 41.27 0.000 .9137066 1.009308 18 | .0678957 .0492694 1.38 0.180 -.0331968 .1689881 19 | .5430723 .0326778 16.62 0.000 .4760229 .6101216 20 | -.2488059 .0266813 -9.33 0.000 -.3035515 -.1940604 21 | -.4160431 .0427755 -9.73 0.000 -.5038112 -.328275 22 | .3608155 .0309267 11.67 0.000 .297359 .4242719 23 | .2731544 .0700741 3.90 0.001 .1293742 .4169346 24 | .2182416 .0535259 4.08 0.000 .1084156 .3280676 25 | .6392644 .0547875 11.67 0.000 .5268497 .751679 26 | .2736494 .0319271 8.57 0.000 .2081403 .3391585 28 | .007721 .0288035 0.27 0.791 -.051379 .066821 29 | .5440733 .0125726 43.27 0.000 .5182765 .5698702 30 | -.6001869 .1051128 -5.71 0.000 -.8158605 -.3845133 31 | .2101772 .0309665 6.79 0.000 .1466392 .2737151 | _cons | 5.931755 .7693497 7.71 0.000 4.353179 7.51033 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`outputname'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", "Seasonal dummies", "Yes") C:\Users\320491\Desktop\Final NBER\Figures\iv_table.tex dir : seeout . . *With Metro area FE and Year FE and Bartik IV . xi: ivregress 2sls `inf_var' (`ygap_var' = i.area_id*d3yrfed) `controls' /// > seas1-seas28 i.year i.area_id `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.area~d*d3yr~d _IareXd3yr_# (coded as above) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) = 3.3e+05 Prob > chi2 = 0.0000 R-squared = 0.4827 Root MSE = 1.0421 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.5002111 .1025465 -4.88 0.000 -.7011986 -.2992235 lpic | .0785405 .0332371 2.36 0.018 .0133969 .1436841 epi | .2157598 .1392638 1.55 0.121 -.0571922 .4887118 seas1 | -.4060334 .0595179 -6.82 0.000 -.5226863 -.2893805 seas2 | -.9153617 .0554421 -16.51 0.000 -1.024026 -.8066973 seas3 | -.9406959 .0481881 -19.52 0.000 -1.035143 -.8462489 seas4 | .0161897 .0396687 0.41 0.683 -.0615594 .0939389 seas5 | -.7519077 .025156 -29.89 0.000 -.8012125 -.7026028 seas6 | -.0734184 .0506322 -1.45 0.147 -.1726556 .0258189 seas7 | -.1217637 .0276704 -4.40 0.000 -.1759967 -.0675307 seas8 | -.5221525 .020427 -25.56 0.000 -.5621888 -.4821163 seas9 | .3730558 .0325528 11.46 0.000 .3092536 .4368581 seas10 | -.550951 .0480926 -11.46 0.000 -.6452108 -.4566912 seas11 | -.4111604 .0184276 -22.31 0.000 -.4472778 -.375043 seas12 | -.69967 .0406516 -17.21 0.000 -.7793457 -.6199942 seas13 | -1.025081 .0312711 -32.78 0.000 -1.086371 -.9637905 seas14 | -.440039 .0109407 -40.22 0.000 -.4614824 -.4185956 seas15 | -1.459405 .0572769 -25.48 0.000 -1.571666 -1.347145 seas16 | -1.517825 .0440863 -34.43 0.000 -1.604233 -1.431418 seas17 | -1.096591 .0399101 -27.48 0.000 -1.174813 -1.018369 seas18 | -.3737707 .0168236 -22.22 0.000 -.4067442 -.3407971 seas19 | -.4559249 .0134822 -33.82 0.000 -.4823495 -.4295003 seas20 | -1.301147 .0383757 -33.91 0.000 -1.376362 -1.225932 seas21 | -1.612528 .061399 -26.26 0.000 -1.732868 -1.492188 seas22 | -.7793067 .0354136 -22.01 0.000 -.8487161 -.7098973 seas23 | -.8817061 .0288801 -30.53 0.000 -.93831 -.8251021 seas24 | -.6879685 .0188923 -36.42 0.000 -.7249967 -.6509403 seas25 | -.1551603 .0131749 -11.78 0.000 -.1809826 -.1293379 seas26 | -.915726 .0267537 -34.23 0.000 -.9681623 -.8632897 seas27 | -.4307655 .0066355 -64.92 0.000 -.4437709 -.4177601 seas28 | -.7925375 .0739475 -10.72 0.000 -.9374719 -.6476031 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.187524 .3976928 8.02 0.000 2.40806 3.966987 _Iyear_1991 | 3.175512 .3436537 9.24 0.000 2.501963 3.849061 _Iyear_1992 | 2.635794 .3722765 7.08 0.000 1.906145 3.365442 _Iyear_1993 | 2.163714 .2880517 7.51 0.000 1.599143 2.728285 _Iyear_1994 | 1.589686 .2823609 5.63 0.000 1.036269 2.143103 _Iyear_1995 | 1.237633 .2013195 6.15 0.000 .8430535 1.632212 _Iyear_1996 | .8868624 .2091198 4.24 0.000 .4769951 1.29673 _Iyear_1997 | .4109959 .2154492 1.91 0.056 -.0112768 .8332687 _Iyear_1998 | .4707009 .1885193 2.50 0.013 .1012099 .840192 _Iyear_1999 | .1277951 .1509253 0.85 0.397 -.168013 .4236033 _Iyear_2000 | .58208 .2131109 2.73 0.006 .1643903 .9997696 _Iyear_2001 | 1.090455 .1899398 5.74 0.000 .7181799 1.46273 _Iyear_2002 | 1.208293 .267367 4.52 0.000 .6842637 1.732323 _Iyear_2003 | .3314974 .2937144 1.13 0.259 -.2441722 .907167 _Iyear_2004 | .4563545 .3060694 1.49 0.136 -.1435305 1.056239 _Iyear_2005 | .5199275 .2627706 1.98 0.048 .0049065 1.034948 _Iyear_2006 | .9847703 .2358709 4.18 0.000 .5224718 1.447069 _Iyear_2007 | .3592554 .2273339 1.58 0.114 -.0863108 .8048216 _Iyear_2008 | .7894487 .3910209 2.02 0.043 .0230618 1.555836 _Iyear_2009 | 2.143889 .4343026 4.94 0.000 1.292672 2.995106 _Iyear_2010 | 1.597586 .4886396 3.27 0.001 .63987 2.555302 _Iyear_2011 | 2.136023 .4515275 4.73 0.000 1.251045 3.021001 _Iyear_2012 | 1.863728 .3760746 4.96 0.000 1.126635 2.600821 _Iyear_2013 | 1.351651 .3425232 3.95 0.000 .680318 2.022984 _Iyear_2014 | .6809729 .2186413 3.11 0.002 .2524439 1.109502 _Iyear_2015 | .597426 .1569761 3.81 0.000 .2897585 .9050936 _Iyear_2016 | .7089791 .118488 5.98 0.000 .476747 .9412113 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _Iarea_id_2 | -.2573102 .0325551 -7.90 0.000 -.3211169 -.1935034 _Iarea_id_3 | -.2384684 .0630084 -3.78 0.000 -.3619626 -.1149742 _Iarea_id_4 | -.6052657 .040635 -14.90 0.000 -.6849087 -.5256226 _Iarea_id_5 | -.5221216 .0766505 -6.81 0.000 -.6723538 -.3718893 _Iarea_id_8 | .2569861 .0394677 6.51 0.000 .1796309 .3343414 _Iarea_id_9 | -.5081471 .0854844 -5.94 0.000 -.6756934 -.3406007 _Iarea_id_10 | .431573 .0426913 10.11 0.000 .3478995 .5152465 _Iarea_id_11 | -.4851107 .0117385 -41.33 0.000 -.5081177 -.4621038 _Iarea_id_12 | .12559 .0749526 1.68 0.094 -.0213143 .2724944 _Iarea_id_13 | .4352311 .1330079 3.27 0.001 .1745404 .6959219 _Iarea_id_14 | -.8306367 .1750762 -4.74 0.000 -1.17378 -.4874938 _Iarea_id_15 | -.1119916 .0344438 -3.25 0.001 -.1795003 -.0444829 _Iarea_id_16 | -.8690893 .1857126 -4.68 0.000 -1.233079 -.5050992 _Iarea_id_17 | .9671195 .0234429 41.25 0.000 .9211723 1.013067 _Iarea_id_18 | -.0187522 .0725457 -0.26 0.796 -.1609393 .1234348 _Iarea_id_19 | .4983043 .0467334 10.66 0.000 .4067086 .5899 _Iarea_id_20 | -.3097731 .0506401 -6.12 0.000 -.4090258 -.2105204 _Iarea_id_21 | -.5184026 .0830513 -6.24 0.000 -.6811802 -.3556251 _Iarea_id_22 | .3068967 .04575 6.71 0.000 .2172284 .3965649 _Iarea_id_23 | .1555904 .0960215 1.62 0.105 -.0326083 .3437891 _Iarea_id_24 | .0922282 .1067462 0.86 0.388 -.1169904 .3014469 _Iarea_id_25 | .7418534 .0952233 7.79 0.000 .5552192 .9284876 _Iarea_id_26 | .1966402 .0642361 3.06 0.002 .0707397 .3225407 _Iarea_id_28 | -.0521237 .0532121 -0.98 0.327 -.1564174 .05217 _Iarea_id_29 | .5201758 .0207961 25.01 0.000 .4794161 .5609354 _Iarea_id_30 | -.8486176 .209872 -4.04 0.000 -1.259959 -.4372761 _Iarea_id_31 | .2638346 .0513024 5.14 0.000 .1632838 .3643854 _cons | 3.559237 .6836602 5.21 0.000 2.219288 4.899187 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 d3yrfed _IareXd3yr_2 _IareXd3yr_3 _IareXd3yr_4 _IareXd3yr_5 _IareXd3yr_8 _IareXd3yr_9 _IareXd3yr_10 _IareXd3yr_11 _IareXd3yr_12 _IareXd3yr_13 _IareXd3yr_14 _IareXd3yr_15 _IareXd3yr_16 _IareXd3yr_17 _IareXd3yr_18 _IareXd3yr_19 _IareXd3yr_20 _IareXd3yr_21 _IareXd3yr_22 _IareXd3yr_23 _IareXd3yr_24 _IareXd3yr_25 _IareXd3yr_26 _IareXd3yr_28 _IareXd3yr_29 _IareXd3yr_30 _IareXd3yr_31 . . outreg2 using "`path_folder'`fig_folder'`outputname'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", "Seasonal dummies", "Yes") C:\Users\320491\Desktop\Final NBER\Figures\iv_table.tex dir : seeout . . xi: ivregress 2sls `inf_var' (`ygap_var' = i.area_id*d3yrfed) `controls' /// > seas1-seas28 i.year i.area_id `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.area~d*d3yr~d _IareXd3yr_# (coded as above) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) = 3.3e+05 Prob > chi2 = 0.0000 R-squared = 0.4827 Root MSE = 1.0421 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.5002111 .1025465 -4.88 0.000 -.7011986 -.2992235 lpic | .0785405 .0332371 2.36 0.018 .0133969 .1436841 epi | .2157598 .1392638 1.55 0.121 -.0571922 .4887118 seas1 | -.4060334 .0595179 -6.82 0.000 -.5226863 -.2893805 seas2 | -.9153617 .0554421 -16.51 0.000 -1.024026 -.8066973 seas3 | -.9406959 .0481881 -19.52 0.000 -1.035143 -.8462489 seas4 | .0161897 .0396687 0.41 0.683 -.0615594 .0939389 seas5 | -.7519077 .025156 -29.89 0.000 -.8012125 -.7026028 seas6 | -.0734184 .0506322 -1.45 0.147 -.1726556 .0258189 seas7 | -.1217637 .0276704 -4.40 0.000 -.1759967 -.0675307 seas8 | -.5221525 .020427 -25.56 0.000 -.5621888 -.4821163 seas9 | .3730558 .0325528 11.46 0.000 .3092536 .4368581 seas10 | -.550951 .0480926 -11.46 0.000 -.6452108 -.4566912 seas11 | -.4111604 .0184276 -22.31 0.000 -.4472778 -.375043 seas12 | -.69967 .0406516 -17.21 0.000 -.7793457 -.6199942 seas13 | -1.025081 .0312711 -32.78 0.000 -1.086371 -.9637905 seas14 | -.440039 .0109407 -40.22 0.000 -.4614824 -.4185956 seas15 | -1.459405 .0572769 -25.48 0.000 -1.571666 -1.347145 seas16 | -1.517825 .0440863 -34.43 0.000 -1.604233 -1.431418 seas17 | -1.096591 .0399101 -27.48 0.000 -1.174813 -1.018369 seas18 | -.3737707 .0168236 -22.22 0.000 -.4067442 -.3407971 seas19 | -.4559249 .0134822 -33.82 0.000 -.4823495 -.4295003 seas20 | -1.301147 .0383757 -33.91 0.000 -1.376362 -1.225932 seas21 | -1.612528 .061399 -26.26 0.000 -1.732868 -1.492188 seas22 | -.7793067 .0354136 -22.01 0.000 -.8487161 -.7098973 seas23 | -.8817061 .0288801 -30.53 0.000 -.93831 -.8251021 seas24 | -.6879685 .0188923 -36.42 0.000 -.7249967 -.6509403 seas25 | -.1551603 .0131749 -11.78 0.000 -.1809826 -.1293379 seas26 | -.915726 .0267537 -34.23 0.000 -.9681623 -.8632897 seas27 | -.4307655 .0066355 -64.92 0.000 -.4437709 -.4177601 seas28 | -.7925375 .0739475 -10.72 0.000 -.9374719 -.6476031 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.187524 .3976928 8.02 0.000 2.40806 3.966987 _Iyear_1991 | 3.175512 .3436537 9.24 0.000 2.501963 3.849061 _Iyear_1992 | 2.635794 .3722765 7.08 0.000 1.906145 3.365442 _Iyear_1993 | 2.163714 .2880517 7.51 0.000 1.599143 2.728285 _Iyear_1994 | 1.589686 .2823609 5.63 0.000 1.036269 2.143103 _Iyear_1995 | 1.237633 .2013195 6.15 0.000 .8430535 1.632212 _Iyear_1996 | .8868624 .2091198 4.24 0.000 .4769951 1.29673 _Iyear_1997 | .4109959 .2154492 1.91 0.056 -.0112768 .8332687 _Iyear_1998 | .4707009 .1885193 2.50 0.013 .1012099 .840192 _Iyear_1999 | .1277951 .1509253 0.85 0.397 -.168013 .4236033 _Iyear_2000 | .58208 .2131109 2.73 0.006 .1643903 .9997696 _Iyear_2001 | 1.090455 .1899398 5.74 0.000 .7181799 1.46273 _Iyear_2002 | 1.208293 .267367 4.52 0.000 .6842637 1.732323 _Iyear_2003 | .3314974 .2937144 1.13 0.259 -.2441722 .907167 _Iyear_2004 | .4563545 .3060694 1.49 0.136 -.1435305 1.056239 _Iyear_2005 | .5199275 .2627706 1.98 0.048 .0049065 1.034948 _Iyear_2006 | .9847703 .2358709 4.18 0.000 .5224718 1.447069 _Iyear_2007 | .3592554 .2273339 1.58 0.114 -.0863108 .8048216 _Iyear_2008 | .7894487 .3910209 2.02 0.043 .0230618 1.555836 _Iyear_2009 | 2.143889 .4343026 4.94 0.000 1.292672 2.995106 _Iyear_2010 | 1.597586 .4886396 3.27 0.001 .63987 2.555302 _Iyear_2011 | 2.136023 .4515275 4.73 0.000 1.251045 3.021001 _Iyear_2012 | 1.863728 .3760746 4.96 0.000 1.126635 2.600821 _Iyear_2013 | 1.351651 .3425232 3.95 0.000 .680318 2.022984 _Iyear_2014 | .6809729 .2186413 3.11 0.002 .2524439 1.109502 _Iyear_2015 | .597426 .1569761 3.81 0.000 .2897585 .9050936 _Iyear_2016 | .7089791 .118488 5.98 0.000 .476747 .9412113 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _Iarea_id_2 | -.2573102 .0325551 -7.90 0.000 -.3211169 -.1935034 _Iarea_id_3 | -.2384684 .0630084 -3.78 0.000 -.3619626 -.1149742 _Iarea_id_4 | -.6052657 .040635 -14.90 0.000 -.6849087 -.5256226 _Iarea_id_5 | -.5221216 .0766505 -6.81 0.000 -.6723538 -.3718893 _Iarea_id_8 | .2569861 .0394677 6.51 0.000 .1796309 .3343414 _Iarea_id_9 | -.5081471 .0854844 -5.94 0.000 -.6756934 -.3406007 _Iarea_id_10 | .431573 .0426913 10.11 0.000 .3478995 .5152465 _Iarea_id_11 | -.4851107 .0117385 -41.33 0.000 -.5081177 -.4621038 _Iarea_id_12 | .12559 .0749526 1.68 0.094 -.0213143 .2724944 _Iarea_id_13 | .4352311 .1330079 3.27 0.001 .1745404 .6959219 _Iarea_id_14 | -.8306367 .1750762 -4.74 0.000 -1.17378 -.4874938 _Iarea_id_15 | -.1119916 .0344438 -3.25 0.001 -.1795003 -.0444829 _Iarea_id_16 | -.8690893 .1857126 -4.68 0.000 -1.233079 -.5050992 _Iarea_id_17 | .9671195 .0234429 41.25 0.000 .9211723 1.013067 _Iarea_id_18 | -.0187522 .0725457 -0.26 0.796 -.1609393 .1234348 _Iarea_id_19 | .4983043 .0467334 10.66 0.000 .4067086 .5899 _Iarea_id_20 | -.3097731 .0506401 -6.12 0.000 -.4090258 -.2105204 _Iarea_id_21 | -.5184026 .0830513 -6.24 0.000 -.6811802 -.3556251 _Iarea_id_22 | .3068967 .04575 6.71 0.000 .2172284 .3965649 _Iarea_id_23 | .1555904 .0960215 1.62 0.105 -.0326083 .3437891 _Iarea_id_24 | .0922282 .1067462 0.86 0.388 -.1169904 .3014469 _Iarea_id_25 | .7418534 .0952233 7.79 0.000 .5552192 .9284876 _Iarea_id_26 | .1966402 .0642361 3.06 0.002 .0707397 .3225407 _Iarea_id_28 | -.0521237 .0532121 -0.98 0.327 -.1564174 .05217 _Iarea_id_29 | .5201758 .0207961 25.01 0.000 .4794161 .5609354 _Iarea_id_30 | -.8486176 .209872 -4.04 0.000 -1.259959 -.4372761 _Iarea_id_31 | .2638346 .0513024 5.14 0.000 .1632838 .3643854 _cons | 3.559237 .6836602 5.21 0.000 2.219288 4.899187 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 d3yrfed _IareXd3yr_2 _IareXd3yr_3 _IareXd3yr_4 _IareXd3yr_5 _IareXd3yr_8 _IareXd3yr_9 _IareXd3yr_10 _IareXd3yr_11 _IareXd3yr_12 _IareXd3yr_13 _IareXd3yr_14 _IareXd3yr_15 _IareXd3yr_16 _IareXd3yr_17 _IareXd3yr_18 _IareXd3yr_19 _IareXd3yr_20 _IareXd3yr_21 _IareXd3yr_22 _IareXd3yr_23 _IareXd3yr_24 _IareXd3yr_25 _IareXd3yr_26 _IareXd3yr_28 _IareXd3yr_29 _IareXd3yr_30 _IareXd3yr_31 . estat firststage First-stage regression summary statistics -------------------------------------------------------------------------- | Adjusted Partial Robust Variable | R-sq. R-sq. R-sq. F(5,27) Prob > F -------------+------------------------------------------------------------ ur | 0.8480 0.8360 0.1634 3415.06 0.0000 -------------------------------------------------------------------------- (F statistic adjusted for 28 clusters in area_id) . . ******************************************************************************* . *********************************** BARTIK ************************************ . ******************************************************************************* . . local bartikoutput "\bartik_table.tex" . . *With Metro area FE . regress `inf_var' `ygap_var' `controls' /// > seas1-seas28 i.area_id `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 2, 27) = . Prob > F = . R-squared = 0.3500 Root MSE = 1.1915 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.1623695 .0192718 -8.43 0.000 -.201912 -.1228271 lpic | .3714011 .0360991 10.29 0.000 .2973319 .4454702 epi | .5889676 .0587952 10.02 0.000 .4683298 .7096055 seas1 | -.2031666 .0111102 -18.29 0.000 -.2259628 -.1803704 seas2 | -.870185 .0177818 -48.94 0.000 -.9066702 -.8336997 seas3 | -.9429332 .019803 -47.62 0.000 -.9835655 -.9023009 seas4 | .2021465 .0135294 14.94 0.000 .1743866 .2299065 seas5 | -.8113729 .0163385 -49.66 0.000 -.8448968 -.7778489 seas6 | .1453449 .0128185 11.34 0.000 .1190435 .1716463 seas7 | -.0089762 .0062573 -1.43 0.163 -.0218152 .0038627 seas8 | -.5141894 .0080235 -64.09 0.000 -.5306523 -.4977265 seas9 | .6026618 .0209552 28.76 0.000 .5596653 .6456584 seas10 | -.4328327 .0093484 -46.30 0.000 -.452014 -.4136514 seas11 | -.4122736 .0072345 -56.99 0.000 -.4271175 -.3974296 seas12 | -.6550785 .0117743 -55.64 0.000 -.6792373 -.6309196 seas13 | -1.119713 .0226674 -49.40 0.000 -1.166222 -1.073203 seas14 | -.4682843 .0066363 -70.56 0.000 -.4819009 -.4546677 seas15 | -1.935932 .0504465 -38.38 0.000 -2.039439 -1.832424 seas16 | -1.909735 .0491697 -38.84 0.000 -2.010623 -1.808847 seas17 | -1.438467 .0402365 -35.75 0.000 -1.521025 -1.355908 seas18 | -.3709185 .0059893 -61.93 0.000 -.3832075 -.3586295 seas19 | -.545484 .013479 -40.47 0.000 -.5731407 -.5178273 seas20 | -1.644442 .041249 -39.87 0.000 -1.729078 -1.559806 seas21 | -2.149949 .063203 -34.02 0.000 -2.279631 -2.020267 seas22 | -.8217663 .0201438 -40.80 0.000 -.8630979 -.7804346 seas23 | -1.124403 .0285398 -39.40 0.000 -1.182962 -1.065844 seas24 | -.8471917 .0216777 -39.08 0.000 -.8916707 -.8027127 seas25 | -.1143842 .0022291 -51.31 0.000 -.118958 -.1098104 seas26 | -1.14234 .0271455 -42.08 0.000 -1.198038 -1.086642 seas27 | -.4724206 .0073142 -64.59 0.000 -.4874282 -.4574131 seas28 | -.6223135 .0147235 -42.27 0.000 -.6525236 -.5921033 | area_id | 2 | -.0265278 .0290188 -0.91 0.369 -.0860694 .0330137 3 | .0817549 .0281755 2.90 0.007 .0239435 .1395662 4 | -.4594235 .0131402 -34.96 0.000 -.486385 -.4324619 5 | -.1225113 .0343766 -3.56 0.001 -.1930463 -.0519763 8 | .033173 .0144657 2.29 0.030 .0034919 .0628541 9 | -.2177972 .0164544 -13.24 0.000 -.2515588 -.1840355 10 | .2981631 .0077968 38.24 0.000 .2821653 .3141608 11 | -.4749772 .0038154 -124.49 0.000 -.4828059 -.4671486 12 | -.0372479 .0167216 -2.23 0.034 -.0715578 -.002938 13 | .0930864 .0247094 3.77 0.001 .0423869 .1437859 14 | -.1977325 .0398365 -4.96 0.000 -.2794703 -.1159946 15 | .1300604 .029664 4.38 0.000 .0691948 .1909259 16 | -.25218 .039637 -6.36 0.000 -.3335083 -.1708517 17 | 1.023113 .0188501 54.28 0.000 .9844357 1.06179 18 | .461603 .050678 9.11 0.000 .3576204 .5655855 19 | .4703151 .0276752 16.99 0.000 .4135304 .5270998 20 | -.1213107 .0175029 -6.93 0.000 -.1572238 -.0853976 21 | -.1429897 .0310764 -4.60 0.000 -.2067533 -.0792261 22 | .5830384 .0310584 18.77 0.000 .5193118 .6467651 23 | .5082091 .0687073 7.40 0.000 .3672332 .6491849 24 | .4135361 .0216343 19.11 0.000 .3691462 .457926 25 | .5524837 .0220224 25.09 0.000 .5072974 .5976699 26 | .4100356 .0154573 26.53 0.000 .3783199 .4417513 28 | .0447528 .0122898 3.64 0.001 .0195362 .0699694 29 | .5937757 .0089498 66.35 0.000 .5754122 .6121392 30 | -.1729417 .0414248 -4.17 0.000 -.2579384 -.087945 31 | .1597333 .0125174 12.76 0.000 .1340498 .1854168 | _cons | .864433 .2064101 4.19 0.000 .4409144 1.287952 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`bartikoutput'", /// > replace title(Inflation lags) `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "No", /// > "Seasonal dummies", "Yes", "Instrument", "n/a", "1st stage F-stat", "n/a") C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout . . xi: ivregress 2sls `inf_var' (`ygap_var' = bartik_defmp3y) `controls' /// > seas1-seas28 i.area_id `sample' i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(58) = 727.02 Prob > chi2 = 0.0000 R-squared = 0.3101 Root MSE = 1.2035 ------------------------------------------------------------------------------ pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3393521 .0646628 -5.25 0.000 -.4660889 -.2126153 lpic | .3165184 .0300426 10.54 0.000 .2576361 .3754007 epi | .6602238 .0695145 9.50 0.000 .523978 .7964697 seas1 | -.3051663 .3238036 -0.94 0.346 -.9398097 .3294771 seas2 | -.948164 .3230966 -2.93 0.003 -1.581422 -.3149063 seas3 | -1.003775 .3226685 -3.11 0.002 -1.636193 -.3713562 seas4 | .1248094 .3229479 0.39 0.699 -.5081569 .7577756 seas5 | -.8328518 .3219209 -2.59 0.010 -1.463805 -.2018983 seas6 | .0542512 .3233964 0.17 0.867 -.5795941 .6880965 seas7 | -.0577618 .3221491 -0.18 0.858 -.6891624 .5736389 seas8 | -.5385381 .3218196 -1.67 0.094 -1.169293 .0922167 seas9 | .5381795 .3227324 1.67 0.095 -.0943644 1.170723 seas10 | -.5131792 .3230021 -1.59 0.112 -1.146252 .1198933 seas11 | -.4372212 .3218122 -1.36 0.174 -1.067961 .1935191 seas12 | -.7149374 .3224689 -2.22 0.027 -1.346965 -.0829099 seas13 | -1.141022 .3220814 -3.54 0.000 -1.77229 -.5097545 seas14 | -.4794613 .3217056 -1.49 0.136 -1.109993 .1510701 seas15 | -1.82772 .3254756 -5.62 0.000 -2.465641 -1.1898 seas16 | -1.847317 .3239004 -5.70 0.000 -2.48215 -1.212484 seas17 | -1.384876 .3868643 -3.58 0.000 -2.143116 -.6266363 seas18 | -.3955102 .3217978 -1.23 0.219 -1.026222 .235202 seas19 | -.5440886 .321765 -1.69 0.091 -1.174736 .0865592 seas20 | -1.584933 .3233855 -4.90 0.000 -2.218757 -.9511094 seas21 | -2.041758 .4429351 -4.61 0.000 -2.909895 -1.173621 seas22 | -.8535021 .3221437 -2.65 0.008 -1.484892 -.222112 seas23 | -1.069061 .3227636 -3.31 0.001 -1.701666 -.4364561 seas24 | -.8187168 .3221122 -2.54 0.011 -1.450045 -.1873885 seas25 | -.1340588 .3217343 -0.42 0.677 -.7646463 .4965288 seas26 | -1.091961 .3226134 -3.38 0.001 -1.724271 -.4596502 seas27 | -.4662468 .3216962 -1.45 0.147 -1.09676 .1642661 seas28 | -.7372626 .3244602 -2.27 0.023 -1.373193 -.1013323 _Iarea_id_2 | -.0953869 .3231643 -0.30 0.768 -.7287773 .5380034 _Iarea_id_3 | -.0487266 .3255256 -0.15 0.881 -.6867451 .589292 _Iarea_id_4 | -.540592 .3230934 -1.67 0.094 -1.173844 .0926595 _Iarea_id_5 | -.2802629 .3272928 -0.86 0.392 -.921745 .3612191 _Iarea_id_8 | .0996387 .3226604 0.31 0.757 -.532764 .7320414 _Iarea_id_9 | -.3664451 .326205 -1.12 0.261 -1.005795 .2729049 _Iarea_id_10 | .3709005 .3227478 1.15 0.250 -.2616736 1.003475 _Iarea_id_11 | -.4909502 .3217132 -1.53 0.127 -1.121496 .1395961 _Iarea_id_12 | .0669979 .324102 0.21 0.836 -.5682304 .7022261 _Iarea_id_13 | .2968212 .3303934 0.90 0.369 -.350738 .9443805 _Iarea_id_14 | -.518218 .3424454 -1.51 0.130 -1.189399 .1529626 _Iarea_id_15 | .0565438 .3233169 0.17 0.861 -.5771457 .6902333 _Iarea_id_16 | -.5882688 .3443963 -1.71 0.088 -1.263273 .0867355 _Iarea_id_17 | 1.014382 .3219841 3.15 0.002 .3833049 1.64546 _Iarea_id_18 | .3057902 .3280627 0.93 0.351 -.3372009 .9487814 _Iarea_id_19 | .392042 .359277 1.09 0.275 -.3121281 1.096212 _Iarea_id_20 | -.2236898 .3239672 -0.69 0.490 -.858654 .4112743 _Iarea_id_21 | -.3111098 .3278493 -0.95 0.343 -.9536826 .331463 _Iarea_id_22 | .4832615 .324286 1.49 0.136 -.1523275 1.11885 _Iarea_id_23 | .3624521 .3910861 0.93 0.354 -.4040627 1.128967 _Iarea_id_24 | .2235245 .3290878 0.68 0.497 -.4214757 .8685248 _Iarea_id_25 | .6880317 .325747 2.11 0.035 .0495793 1.326484 _Iarea_id_26 | .2897003 .3246882 0.89 0.372 -.3466768 .9260775 _Iarea_id_28 | -.0455177 .3233909 -0.14 0.888 -.6793522 .5883167 _Iarea_id_29 | .5505987 .3220943 1.71 0.087 -.0806946 1.181892 _Iarea_id_30 | -.5431077 .3489591 -1.56 0.120 -1.227055 .1408397 _Iarea_id_31 | .2273247 .3227301 0.70 0.481 -.4052146 .8598641 _cons | 1.867999 .4696574 3.98 0.000 .9474872 2.78851 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 bartik_defmp3y . estat firststage First-stage regression summary statistics -------------------------------------------------------------------------- | Adjusted Partial Variable | R-sq. R-sq. R-sq. F(1,1466) Prob > F -------------+------------------------------------------------------------ ur | 0.2959 0.2680 0.0850 136.152 0.0000 -------------------------------------------------------------------------- Minimum eigenvalue statistic = 136.152 Critical Values # of endogenous regressors: 1 Ho: Instruments are weak # of excluded instruments: 1 --------------------------------------------------------------------- | 5% 10% 20% 30% 2SLS relative bias | (not available) -----------------------------------+--------------------------------- | 10% 15% 20% 25% 2SLS Size of nominal 5% Wald test | 16.38 8.96 6.66 5.53 LIML Size of nominal 5% Wald test | 16.38 8.96 6.66 5.53 --------------------------------------------------------------------- . local fstat=round(el(r(singleresults),1,4),0.1) . . xi: ivregress 2sls `inf_var' (`ygap_var' = bartik_defmp3y) `controls' /// > seas1-seas28 i.area_id `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(58) = 269.81 Prob > chi2 = 0.0000 R-squared = 0.3101 Root MSE = 1.2035 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3393521 .0628925 -5.40 0.000 -.462619 -.2160851 lpic | .3165184 .0452649 6.99 0.000 .2278008 .4052359 epi | .6602238 .0658408 10.03 0.000 .5311782 .7892694 seas1 | -.3051663 .0363201 -8.40 0.000 -.3763524 -.2339801 seas2 | -.948164 .0269808 -35.14 0.000 -1.001045 -.8952825 seas3 | -1.003775 .0236006 -42.53 0.000 -1.050031 -.9575185 seas4 | .1248094 .0319919 3.90 0.000 .0621064 .1875123 seas5 | -.8328518 .0155212 -53.66 0.000 -.8632727 -.8024309 seas6 | .0542512 .0351415 1.54 0.123 -.0146248 .1231272 seas7 | -.0577618 .0183228 -3.15 0.002 -.0936739 -.0218497 seas8 | -.5385381 .0094643 -56.90 0.000 -.5570878 -.5199884 seas9 | .5381795 .0341156 15.78 0.000 .4713142 .6050448 seas10 | -.5131792 .0274447 -18.70 0.000 -.5669697 -.4593886 seas11 | -.4372212 .0092904 -47.06 0.000 -.4554301 -.4190122 seas12 | -.7149374 .0202835 -35.25 0.000 -.7546924 -.6751824 seas13 | -1.141022 .0213555 -53.43 0.000 -1.182878 -1.099166 seas14 | -.4794613 .006473 -74.07 0.000 -.4921481 -.4667744 seas15 | -1.82772 .0702664 -26.01 0.000 -1.96544 -1.690001 seas16 | -1.847317 .0588884 -31.37 0.000 -1.962736 -1.731898 seas17 | -1.384876 .0487787 -28.39 0.000 -1.480481 -1.289272 seas18 | -.3955102 .0087838 -45.03 0.000 -.4127261 -.3782943 seas19 | -.5440886 .0134548 -40.44 0.000 -.5704595 -.5177177 seas20 | -1.584933 .0508534 -31.17 0.000 -1.684604 -1.485262 seas21 | -2.041758 .0818576 -24.94 0.000 -2.202196 -1.88132 seas22 | -.8535021 .019535 -43.69 0.000 -.89179 -.8152142 seas23 | -1.069061 .0385784 -27.71 0.000 -1.144673 -.9934489 seas24 | -.8187168 .0263463 -31.08 0.000 -.8703546 -.767079 seas25 | -.1340588 .0066105 -20.28 0.000 -.1470151 -.1211024 seas26 | -1.091961 .0361767 -30.18 0.000 -1.162866 -1.021056 seas27 | -.4662468 .0082938 -56.22 0.000 -.4825022 -.4499913 seas28 | -.7372626 .0382121 -19.29 0.000 -.8121569 -.6623683 _Iarea_id_2 | -.0953869 .0425964 -2.24 0.025 -.1788744 -.0118995 _Iarea_id_3 | -.0487266 .0582211 -0.84 0.403 -.1628378 .0653847 _Iarea_id_4 | -.540592 .0326813 -16.54 0.000 -.6046462 -.4765379 _Iarea_id_5 | -.2802629 .0705824 -3.97 0.000 -.4186018 -.141924 _Iarea_id_8 | .0996387 .0290066 3.44 0.001 .0427868 .1564906 _Iarea_id_9 | -.3664451 .0532688 -6.88 0.000 -.4708501 -.2620401 _Iarea_id_10 | .3709005 .0255075 14.54 0.000 .3209066 .4208944 _Iarea_id_11 | -.4909502 .0055615 -88.28 0.000 -.5018506 -.4800498 _Iarea_id_12 | .0669979 .0342642 1.96 0.051 -.0001588 .1341545 _Iarea_id_13 | .2968212 .0677002 4.38 0.000 .1641314 .4295111 _Iarea_id_14 | -.518218 .1194537 -4.34 0.000 -.7523429 -.2840931 _Iarea_id_15 | .0565438 .0443064 1.28 0.202 -.0302951 .1433827 _Iarea_id_16 | -.5882688 .1228117 -4.79 0.000 -.8289754 -.3475622 _Iarea_id_17 | 1.014382 .0204939 49.50 0.000 .974215 1.054549 _Iarea_id_18 | .3057902 .0832492 3.67 0.000 .1426248 .4689556 _Iarea_id_19 | .392042 .0438001 8.95 0.000 .3061953 .4778886 _Iarea_id_20 | -.2236898 .0419917 -5.33 0.000 -.3059921 -.1413875 _Iarea_id_21 | -.3111098 .070957 -4.38 0.000 -.4501829 -.1720367 _Iarea_id_22 | .4832615 .0523103 9.24 0.000 .3807352 .5857877 _Iarea_id_23 | .3624521 .0961741 3.77 0.000 .1739543 .5509498 _Iarea_id_24 | .2235245 .0679943 3.29 0.001 .0902582 .3567909 _Iarea_id_25 | .6880317 .0446442 15.41 0.000 .6005307 .7755327 _Iarea_id_26 | .2897003 .0450862 6.43 0.000 .201333 .3780677 _Iarea_id_28 | -.0455177 .0311213 -1.46 0.144 -.1065144 .0154789 _Iarea_id_29 | .5505987 .0189167 29.11 0.000 .5135227 .5876748 _Iarea_id_30 | -.5431077 .1326505 -4.09 0.000 -.8030979 -.2831174 _Iarea_id_31 | .2273247 .022414 10.14 0.000 .1833941 .2712554 _cons | 1.867999 .3984038 4.69 0.000 1.087142 2.648856 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 bartik_defmp3y . . outreg2 using "`path_folder'`fig_folder'`bartikoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "No", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout . . *With Metro area FE and Year FE . regress `inf_var' `ygap_var' `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.4871 Root MSE = 1.0683 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3793637 .0518973 -7.31 0.000 -.4858482 -.2728792 lpic | .105313 .0339405 3.10 0.004 .0356729 .1749531 epi | .2247839 .1414511 1.59 0.124 -.0654497 .5150175 seas1 | -.3359218 .0302937 -11.09 0.000 -.3980794 -.2737641 seas2 | -.857919 .0335624 -25.56 0.000 -.9267834 -.7890546 seas3 | -.8941184 .0318281 -28.09 0.000 -.9594242 -.8288126 seas4 | .0651142 .0201898 3.23 0.003 .0236882 .1065402 seas5 | -.7332271 .0206104 -35.58 0.000 -.7755162 -.6909379 seas6 | -.0123268 .0259198 -0.48 0.638 -.0655099 .0408563 seas7 | -.0886422 .0141543 -6.26 0.000 -.1176845 -.0595999 seas8 | -.5024068 .0134293 -37.41 0.000 -.5299615 -.4748521 seas9 | .4119534 .0220395 18.69 0.000 .3667322 .4571747 seas10 | -.4957849 .0250405 -19.80 0.000 -.5471638 -.444406 seas11 | -.3930547 .012012 -32.72 0.000 -.4177014 -.368408 seas12 | -.6565348 .0238132 -27.57 0.000 -.7053955 -.6076741 seas13 | -1.004533 .0271634 -36.98 0.000 -1.060268 -.9487984 seas14 | -.4319071 .0090603 -47.67 0.000 -.4504973 -.4133169 seas15 | -1.520255 .048902 -31.09 0.000 -1.620594 -1.419916 seas16 | -1.547247 .0472378 -32.75 0.000 -1.644171 -1.450323 seas17 | -1.1322 .0388937 -29.11 0.000 -1.212003 -1.052396 seas18 | -.3567913 .010679 -33.41 0.000 -.3787028 -.3348799 seas19 | -.4542545 .0145681 -31.18 0.000 -.4841457 -.4243633 seas20 | -1.331032 .0396275 -33.59 0.000 -1.412341 -1.249723 seas21 | -1.668249 .0595684 -28.01 0.000 -1.790474 -1.546025 seas22 | -.7503297 .027029 -27.76 0.000 -.8057887 -.6948707 seas23 | -.9102521 .0264567 -34.41 0.000 -.9645368 -.8559674 seas24 | -.7000006 .0202672 -34.54 0.000 -.7415855 -.6584157 seas25 | -.140465 .007385 -19.02 0.000 -.1556177 -.1253123 seas26 | -.9412593 .0251259 -37.46 0.000 -.9928134 -.8897051 seas27 | -.4318373 .0072415 -59.63 0.000 -.4466956 -.416979 seas28 | -.709804 .0401046 -17.70 0.000 -.7920919 -.6275162 | area_id | 2 | -.2230104 .0271135 -8.23 0.000 -.2786427 -.1673781 3 | -.1604877 .0340228 -4.72 0.000 -.2302966 -.0906787 4 | -.5563907 .0211294 -26.33 0.000 -.5997446 -.5130368 5 | -.4270753 .0414233 -10.31 0.000 -.5120689 -.3420817 8 | .2110312 .0242099 8.72 0.000 .1613566 .2607058 9 | -.4070224 .0431248 -9.44 0.000 -.4955072 -.3185377 10 | .3815969 .021747 17.55 0.000 .3369757 .4262182 11 | -.4730458 .0071724 -65.95 0.000 -.4877623 -.4583293 12 | .0452851 .0437044 1.04 0.309 -.044389 .1349591 13 | .2863894 .0726172 3.94 0.001 .1373913 .4353875 14 | -.6200713 .0866248 -7.16 0.000 -.7978107 -.4423319 15 | -.074647 .0277711 -2.69 0.012 -.1316285 -.0176655 16 | -.6475343 .0922145 -7.02 0.000 -.8367428 -.4583258 17 | .9615073 .0232966 41.27 0.000 .9137066 1.009308 18 | .0678957 .0492694 1.38 0.180 -.0331968 .1689881 19 | .5430723 .0326778 16.62 0.000 .4760229 .6101216 20 | -.2488059 .0266813 -9.33 0.000 -.3035515 -.1940604 21 | -.4160431 .0427755 -9.73 0.000 -.5038112 -.328275 22 | .3608155 .0309267 11.67 0.000 .297359 .4242719 23 | .2731544 .0700741 3.90 0.001 .1293742 .4169346 24 | .2182416 .0535259 4.08 0.000 .1084156 .3280676 25 | .6392644 .0547875 11.67 0.000 .5268497 .751679 26 | .2736494 .0319271 8.57 0.000 .2081403 .3391585 28 | .007721 .0288035 0.27 0.791 -.051379 .066821 29 | .5440733 .0125726 43.27 0.000 .5182765 .5698702 30 | -.6001869 .1051128 -5.71 0.000 -.8158605 -.3845133 31 | .2101772 .0309665 6.79 0.000 .1466392 .2737151 | year | 1991 | -.1608141 .2377032 -0.68 0.504 -.6485407 .3269126 1992 | -.7463096 .2895393 -2.58 0.016 -1.340395 -.1522241 1993 | -1.144708 .2909497 -3.93 0.001 -1.741687 -.5477281 1994 | -1.618626 .3101507 -5.22 0.000 -2.255003 -.9822492 1995 | -1.903488 .3195638 -5.96 0.000 -2.559178 -1.247797 1996 | -2.224632 .3061523 -7.27 0.000 -2.852805 -1.59646 1997 | -2.641424 .3555045 -7.43 0.000 -3.370859 -1.911989 1998 | -2.52296 .374723 -6.73 0.000 -3.291828 -1.754092 1999 | -2.833267 .3913759 -7.24 0.000 -3.636304 -2.03023 2000 | -2.392793 .339597 -7.05 0.000 -3.089588 -1.695997 2001 | -1.979163 .387794 -5.10 0.000 -2.77485 -1.183475 2002 | -1.996183 .3351129 -5.96 0.000 -2.683778 -1.308589 2003 | -2.87163 .294163 -9.76 0.000 -3.475202 -2.268057 2004 | -2.686835 .3180814 -8.45 0.000 -3.339484 -2.034186 2005 | -2.588352 .2240894 -11.55 0.000 -3.048145 -2.128559 2006 | -2.075614 .3465899 -5.99 0.000 -2.786758 -1.36447 2007 | -2.705656 .2796501 -9.68 0.000 -3.27945 -2.131861 2008 | -2.41042 .279821 -8.61 0.000 -2.984565 -1.836275 2009 | -1.429842 .3672134 -3.89 0.001 -2.183302 -.6763825 2010 | -1.997364 .4083383 -4.89 0.000 -2.835205 -1.159523 2011 | -1.3836 .2942849 -4.70 0.000 -1.987423 -.7797773 2012 | -1.565359 .3045282 -5.14 0.000 -2.190199 -.9405187 2013 | -1.993676 .3131923 -6.37 0.000 -2.636294 -1.351059 2014 | -2.529922 .3260496 -7.76 0.000 -3.198921 -1.860924 2015 | -2.500462 .3552196 -7.04 0.000 -3.229312 -1.771612 2016 | -2.356891 .3707164 -6.36 0.000 -3.117538 -1.596244 2017 | -3.009074 .4207541 -7.15 0.000 -3.87239 -2.145758 | _cons | 5.931755 .7693497 7.71 0.000 4.353179 7.51033 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`bartikoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "n/a", "1st stage F-stat", "n/a") C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout . . foreach var of varlist bartik_defmp3y bartik_mp3y { 2. xi: ivregress 2sls `inf_var' (`ygap_var' = `var') `controls' /// > seas1-seas28 i.area_id i.year `sample' 3. estat firststage 4. local fstat=round(el(r(singleresults),1,4),0.1) 5. . xi: ivregress 2sls `inf_var' (`ygap_var' = `var') `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) 6. . outreg2 using "`path_folder'`fig_folder'`bartikoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'") 7. } i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) = 1325.51 Prob > chi2 = 0.0000 R-squared = 0.4854 Root MSE = 1.0394 ------------------------------------------------------------------------------ pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.4544539 .1430672 -3.18 0.001 -.7348604 -.1740473 lpic | .0886775 .0396241 2.24 0.025 .0110158 .1663393 epi | .2191766 .1468585 1.49 0.136 -.0686607 .5070139 seas1 | -.3794866 .2899348 -1.31 0.191 -.9477484 .1887752 seas2 | -.8936118 .2862507 -3.12 0.002 -1.454653 -.3325709 seas3 | -.92306 .2835529 -3.26 0.001 -1.478814 -.3673065 seas4 | .0347143 .283853 0.12 0.903 -.5216274 .591056 seas5 | -.7448345 .2789168 -2.67 0.008 -1.291501 -.1981676 seas6 | -.0502869 .2871007 -0.18 0.861 -.612994 .5124202 seas7 | -.1092227 .2805585 -0.39 0.697 -.6591073 .440662 seas8 | -.5146761 .2788387 -1.85 0.065 -1.06119 .0318377 seas9 | .3877839 .2818761 1.38 0.169 -.1646832 .940251 seas10 | -.5300631 .2853996 -1.86 0.063 -1.089436 .0293097 seas11 | -.4043049 .2786759 -1.45 0.147 -.9504997 .1418899 seas12 | -.6833374 .2825609 -2.42 0.016 -1.237147 -.1295282 seas13 | -1.017301 .2793134 -3.64 0.000 -1.564745 -.4698565 seas14 | -.43696 .2780231 -1.57 0.116 -.9818753 .1079554 seas15 | -1.482445 .2888089 -5.13 0.000 -2.0485 -.9163902 seas16 | -1.528965 .2818816 -5.42 0.000 -2.081443 -.9764876 seas17 | -1.110074 .3367886 -3.30 0.001 -1.770167 -.4499801 seas18 | -.3673417 .2785727 -1.32 0.187 -.9133341 .1786507 seas19 | -.4552924 .2779768 -1.64 0.101 -1.000117 .0895321 seas20 | -1.312462 .2813738 -4.66 0.000 -1.863945 -.7609798 seas21 | -1.633626 .3874364 -4.22 0.000 -2.392987 -.8742648 seas22 | -.768335 .280278 -2.74 0.006 -1.31767 -.2190003 seas23 | -.8925146 .2804674 -3.18 0.001 -1.442221 -.3428087 seas24 | -.6925243 .278547 -2.49 0.013 -1.238466 -.1465822 seas25 | -.1495961 .2783513 -0.54 0.591 -.6951546 .3959624 seas26 | -.9253938 .2800059 -3.30 0.001 -1.474195 -.3765923 seas27 | -.4311713 .2778536 -1.55 0.121 -.9757544 .1134118 seas28 | -.7612116 .2946603 -2.58 0.010 -1.338735 -.183688 _Iarea_id_2 | -.244323 .2816083 -0.87 0.386 -.7962652 .3076192 _Iarea_id_3 | -.2089421 .2933565 -0.71 0.476 -.7839102 .3660261 _Iarea_id_4 | -.5867598 .2840479 -2.07 0.039 -1.143484 -.0300362 _Iarea_id_5 | -.4861336 .3005189 -1.62 0.106 -1.07514 .1028726 _Iarea_id_8 | .2395859 .2833488 0.85 0.398 -.3157676 .7949395 _Iarea_id_9 | -.4698576 .3024951 -1.55 0.120 -1.062737 .1230219 _Iarea_id_10 | .4126503 .2840267 1.45 0.146 -.1440318 .9693323 _Iarea_id_11 | -.4805425 .2781741 -1.73 0.084 -1.025754 .0646687 _Iarea_id_12 | .0951836 .2940427 0.32 0.746 -.4811295 .6714968 _Iarea_id_13 | .3788743 .3293968 1.15 0.250 -.2667317 1.02448 _Iarea_id_14 | -.750909 .3735341 -2.01 0.044 -1.483022 -.0187957 _Iarea_id_15 | -.0978516 .2821705 -0.35 0.729 -.6508957 .4551925 _Iarea_id_16 | -.7852006 .3824103 -2.05 0.040 -1.534711 -.0356902 _Iarea_id_17 | .9649945 .2786157 3.46 0.001 .4189178 1.511071 _Iarea_id_18 | .0140558 .2981609 0.05 0.962 -.5703287 .5984403 _Iarea_id_19 | .5152551 .3145536 1.64 0.101 -.1012587 1.131769 _Iarea_id_20 | -.2866887 .2875349 -1.00 0.319 -.8502468 .2768694 _Iarea_id_21 | -.4796456 .303842 -1.58 0.114 -1.075165 .1158737 _Iarea_id_22 | .3273123 .2860798 1.14 0.253 -.2333939 .8880184 _Iarea_id_23 | .2001044 .3628482 0.55 0.581 -.5110651 .9112739 _Iarea_id_24 | .1399415 .3154858 0.44 0.657 -.4783993 .7582822 _Iarea_id_25 | .7030095 .3036757 2.32 0.021 .107816 1.298203 _Iarea_id_26 | .2257987 .2925691 0.77 0.440 -.3476262 .7992237 _Iarea_id_28 | -.0294643 .2869055 -0.10 0.918 -.5917887 .53286 _Iarea_id_29 | .5292242 .2794496 1.89 0.058 -.0184868 1.076935 _Iarea_id_30 | -.7545527 .4046939 -1.86 0.062 -1.547738 .0386328 _Iarea_id_31 | .2435179 .2852703 0.85 0.393 -.3156016 .8026375 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.119956 .3699816 8.43 0.000 2.394805 3.845107 _Iyear_1991 | 3.051602 .459044 6.65 0.000 2.151892 3.951312 _Iyear_1992 | 2.494551 .4876254 5.12 0.000 1.538823 3.450279 _Iyear_1993 | 2.05037 .4145221 4.95 0.000 1.237921 2.862818 _Iyear_1994 | 1.514247 .3173686 4.77 0.000 .8922162 2.136278 _Iyear_1995 | 1.187635 .2618539 4.54 0.000 .6744108 1.700859 _Iyear_1996 | .8480821 .241699 3.51 0.000 .3743608 1.321803 _Iyear_1997 | .3945834 .2118353 1.86 0.063 -.0206061 .809773 _Iyear_1998 | .4765367 .2004532 2.38 0.017 .0836557 .8694176 _Iyear_1999 | .145974 .2072181 0.70 0.481 -.260166 .552114 _Iyear_2000 | .5950297 .2124804 2.80 0.005 .1785756 1.011484 _Iyear_2001 | 1.067531 .2114334 5.05 0.000 .6531289 1.481933 _Iyear_2002 | 1.134307 .3057981 3.71 0.000 .5349533 1.73366 _Iyear_2003 | .2580218 .3025732 0.85 0.394 -.3350109 .8510544 _Iyear_2004 | .4055734 .2604486 1.56 0.119 -.1048965 .9160433 _Iyear_2005 | .4823645 .2564536 1.88 0.060 -.0202753 .9850043 _Iyear_2006 | .9653423 .2342434 4.12 0.000 .5062336 1.424451 _Iyear_2007 | .3381133 .2307937 1.47 0.143 -.1142341 .7904606 _Iyear_2008 | .7172068 .3874167 1.85 0.064 -.0421159 1.47653 _Iyear_2009 | 1.930089 .6968153 2.77 0.006 .5643562 3.295822 _Iyear_2010 | 1.375752 .7218557 1.91 0.057 -.0390594 2.790563 _Iyear_2011 | 1.942711 .6562427 2.96 0.003 .6564986 3.228923 _Iyear_2012 | 1.704696 .5453883 3.13 0.002 .6357543 2.773637 _Iyear_2013 | 1.224333 .4520247 2.71 0.007 .3383812 2.110285 _Iyear_2014 | .604556 .3201913 1.89 0.059 -.0230075 1.232119 _Iyear_2015 | .5637977 .2250696 2.50 0.012 .1226695 1.004926 _Iyear_2016 | .6874739 .207684 3.31 0.001 .2804207 1.094527 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 3.318214 .8693132 3.82 0.000 1.614391 5.022037 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 bartik_defmp3y First-stage regression summary statistics -------------------------------------------------------------------------- | Adjusted Partial Variable | R-sq. R-sq. R-sq. F(1,1439) Prob > F -------------+------------------------------------------------------------ ur | 0.8283 0.8182 0.0549 83.5186 0.0000 -------------------------------------------------------------------------- Minimum eigenvalue statistic = 83.5186 Critical Values # of endogenous regressors: 1 Ho: Instruments are weak # of excluded instruments: 1 --------------------------------------------------------------------- | 5% 10% 20% 30% 2SLS relative bias | (not available) -----------------------------------+--------------------------------- | 10% 15% 20% 25% 2SLS Size of nominal 5% Wald test | 16.38 8.96 6.66 5.53 LIML Size of nominal 5% Wald test | 16.38 8.96 6.66 5.53 --------------------------------------------------------------------- i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) =31763.14 Prob > chi2 = 0.0000 R-squared = 0.4854 Root MSE = 1.0394 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.4544539 .2094997 -2.17 0.030 -.8650658 -.043842 lpic | .0886775 .0573944 1.55 0.122 -.0238134 .2011685 epi | .2191766 .1412609 1.55 0.121 -.0576897 .4960429 seas1 | -.3794866 .1219337 -3.11 0.002 -.6184723 -.1405009 seas2 | -.8936118 .0998054 -8.95 0.000 -1.089227 -.6979969 seas3 | -.92306 .0817582 -11.29 0.000 -1.083303 -.7628168 seas4 | .0347143 .0848279 0.41 0.682 -.1315453 .2009739 seas5 | -.7448345 .0350693 -21.24 0.000 -.8135691 -.6760999 seas6 | -.0502869 .1068707 -0.47 0.638 -.2597496 .1591758 seas7 | -.1092227 .0579274 -1.89 0.059 -.2227583 .0043129 seas8 | -.5146761 .0352211 -14.61 0.000 -.5837082 -.4456439 seas9 | .3877839 .0705178 5.50 0.000 .2495716 .5259961 seas10 | -.5300631 .0949772 -5.58 0.000 -.716215 -.3439113 seas11 | -.4043049 .0313706 -12.89 0.000 -.4657901 -.3428198 seas12 | -.6833374 .0745792 -9.16 0.000 -.82951 -.5371648 seas13 | -1.017301 .0406839 -25.00 0.000 -1.09704 -.9375617 seas14 | -.43696 .0148808 -29.36 0.000 -.4661257 -.4077942 seas15 | -1.482445 .1165002 -12.72 0.000 -1.710781 -1.254109 seas16 | -1.528965 .0696481 -21.95 0.000 -1.665473 -1.392458 seas17 | -1.110074 .0741124 -14.98 0.000 -1.255331 -.9648159 seas18 | -.3673417 .0290869 -12.63 0.000 -.4243509 -.3103325 seas19 | -.4552924 .0133264 -34.16 0.000 -.4814118 -.4291731 seas20 | -1.312462 .0656042 -20.01 0.000 -1.441044 -1.18388 seas21 | -1.633626 .1135101 -14.39 0.000 -1.856102 -1.41115 seas22 | -.768335 .0538175 -14.28 0.000 -.8738153 -.6628547 seas23 | -.8925146 .0556388 -16.04 0.000 -1.001565 -.7834647 seas24 | -.6925243 .0286178 -24.20 0.000 -.7486142 -.6364344 seas25 | -.1495961 .0261249 -5.73 0.000 -.2008 -.0983923 seas26 | -.9253938 .0504548 -18.34 0.000 -1.024283 -.8265043 seas27 | -.4311713 .0070583 -61.09 0.000 -.4450053 -.4173374 seas28 | -.7612116 .1440618 -5.28 0.000 -1.043568 -.4788557 _Iarea_id_2 | -.244323 .0630986 -3.87 0.000 -.3679941 -.120652 _Iarea_id_3 | -.2089421 .1347576 -1.55 0.121 -.473062 .0551779 _Iarea_id_4 | -.5867598 .0829751 -7.07 0.000 -.7493881 -.4241316 _Iarea_id_5 | -.4861336 .1647689 -2.95 0.003 -.8090747 -.1631924 _Iarea_id_8 | .2395859 .0836012 2.87 0.004 .0757307 .4034412 _Iarea_id_9 | -.4698576 .1753453 -2.68 0.007 -.8135281 -.1261871 _Iarea_id_10 | .4126503 .0866158 4.76 0.000 .2428864 .5824141 _Iarea_id_11 | -.4805425 .0211075 -22.77 0.000 -.5219125 -.4391725 _Iarea_id_12 | .0951836 .1426187 0.67 0.505 -.1843439 .3747112 _Iarea_id_13 | .3788743 .2610203 1.45 0.147 -.1327161 .8904646 _Iarea_id_14 | -.750909 .3628729 -2.07 0.039 -1.462127 -.0396913 _Iarea_id_15 | -.0978516 .0680909 -1.44 0.151 -.2313073 .0356042 _Iarea_id_16 | -.7852006 .3808522 -2.06 0.039 -1.531657 -.0387439 _Iarea_id_17 | .9649945 .0248735 38.80 0.000 .9162434 1.013746 _Iarea_id_18 | .0140558 .1538413 0.09 0.927 -.2874677 .3155793 _Iarea_id_19 | .5152551 .0743276 6.93 0.000 .3695756 .6609346 _Iarea_id_20 | -.2866887 .1035311 -2.77 0.006 -.4896059 -.0837715 _Iarea_id_21 | -.4796456 .1758608 -2.73 0.006 -.8243264 -.1349647 _Iarea_id_22 | .3273123 .094641 3.46 0.001 .1418194 .5128052 _Iarea_id_23 | .2001044 .2028748 0.99 0.324 -.1975229 .5977317 _Iarea_id_24 | .1399415 .2162309 0.65 0.518 -.2838633 .5637462 _Iarea_id_25 | .7030095 .1808395 3.89 0.000 .3485706 1.057448 _Iarea_id_26 | .2257987 .1315636 1.72 0.086 -.0320611 .4836585 _Iarea_id_28 | -.0294643 .1018239 -0.29 0.772 -.2290355 .1701069 _Iarea_id_29 | .5292242 .040482 13.07 0.000 .449881 .6085675 _Iarea_id_30 | -.7545527 .4284027 -1.76 0.078 -1.594207 .0851011 _Iarea_id_31 | .2435179 .0961051 2.53 0.011 .0551555 .4318804 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.119956 .5980468 5.22 0.000 1.947806 4.292106 _Iyear_1991 | 3.051602 .7151151 4.27 0.000 1.650002 4.453202 _Iyear_1992 | 2.494551 .7372325 3.38 0.001 1.049602 3.9395 _Iyear_1993 | 2.05037 .5675871 3.61 0.000 .9379197 3.16282 _Iyear_1994 | 1.514247 .4562876 3.32 0.001 .61994 2.408555 _Iyear_1995 | 1.187635 .3229252 3.68 0.000 .5547132 1.820557 _Iyear_1996 | .8480821 .2929585 2.89 0.004 .2738941 1.42227 _Iyear_1997 | .3945834 .2414403 1.63 0.102 -.0786309 .8677978 _Iyear_1998 | .4765367 .1865228 2.55 0.011 .1109588 .8421145 _Iyear_1999 | .145974 .1485299 0.98 0.326 -.1451392 .4370872 _Iyear_2000 | .5950297 .206621 2.88 0.004 .1900599 .9999994 _Iyear_2001 | 1.067531 .2194562 4.86 0.000 .6374045 1.497657 _Iyear_2002 | 1.134307 .4406924 2.57 0.010 .2705654 1.998048 _Iyear_2003 | .2580218 .4921026 0.52 0.600 -.7064815 1.222525 _Iyear_2004 | .4055734 .393663 1.03 0.303 -.3659918 1.177139 _Iyear_2005 | .4823645 .3554239 1.36 0.175 -.2142536 1.178983 _Iyear_2006 | .9653423 .2730806 3.54 0.000 .4301141 1.500571 _Iyear_2007 | .3381133 .2807177 1.20 0.228 -.2120832 .8883098 _Iyear_2008 | .7172068 .5454772 1.31 0.189 -.3519088 1.786322 _Iyear_2009 | 1.930089 1.018964 1.89 0.058 -.0670438 3.927222 _Iyear_2010 | 1.375752 1.0008 1.37 0.169 -.5857809 3.337285 _Iyear_2011 | 1.942711 .9599188 2.02 0.043 .0613044 3.824117 _Iyear_2012 | 1.704696 .762065 2.24 0.025 .2110756 3.198316 _Iyear_2013 | 1.224333 .6382856 1.92 0.055 -.0266835 2.47535 _Iyear_2014 | .604556 .3835934 1.58 0.115 -.1472733 1.356385 _Iyear_2015 | .5637977 .2230472 2.53 0.011 .1266333 1.000962 _Iyear_2016 | .6874739 .1603124 4.29 0.000 .3732673 1.00168 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 3.318214 1.215598 2.73 0.006 .9356857 5.700742 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 bartik_defmp3y C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) = 1327.28 Prob > chi2 = 0.0000 R-squared = 0.4871 Root MSE = 1.0377 ------------------------------------------------------------------------------ pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3918441 .1418058 -2.76 0.006 -.6697784 -.1139099 lpic | .1025481 .0393779 2.60 0.009 .0253688 .1797274 epi | .223852 .1466176 1.53 0.127 -.0635132 .5112171 seas1 | -.3431625 .2892994 -1.19 0.236 -.9101788 .2238539 seas2 | -.8638514 .2856758 -3.02 0.002 -1.423766 -.303937 seas3 | -.8989287 .2830215 -3.18 0.001 -1.453641 -.3442168 seas4 | .0600615 .2833133 0.21 0.832 -.4952222 .6153453 seas5 | -.7351563 .2784573 -2.64 0.008 -1.280923 -.18939 seas6 | -.018636 .2865097 -0.07 0.948 -.5801847 .5429127 seas7 | -.0920628 .2800696 -0.33 0.742 -.6409891 .4568636 seas8 | -.504446 .2783778 -1.81 0.070 -1.050056 .0411645 seas9 | .4079363 .2813704 1.45 0.147 -.1435396 .9594122 seas10 | -.5014822 .2848348 -1.76 0.078 -1.059748 .0567838 seas11 | -.3949246 .2782176 -1.42 0.156 -.940221 .1503718 seas12 | -.6609895 .2820418 -2.34 0.019 -1.213781 -.1081978 seas13 | -1.006655 .2788506 -3.61 0.000 -1.553192 -.460118 seas14 | -.4327469 .2775753 -1.56 0.119 -.9767844 .1112906 seas15 | -1.513971 .2882169 -5.25 0.000 -2.078865 -.9490758 seas16 | -1.544208 .281399 -5.49 0.000 -2.09574 -.9926764 seas17 | -1.128522 .336211 -3.36 0.001 -1.787484 -.4695607 seas18 | -.3585449 .2781159 -1.29 0.197 -.903642 .1865522 seas19 | -.454427 .2775313 -1.64 0.102 -.9983783 .0895243 seas20 | -1.327946 .2808909 -4.73 0.000 -1.878482 -.7774094 seas21 | -1.662495 .3867348 -4.30 0.000 -2.420481 -.9045085 seas22 | -.7533223 .2797987 -2.69 0.007 -1.301718 -.2049269 seas23 | -.907304 .2799887 -3.24 0.001 -1.456072 -.3585363 seas24 | -.698758 .2780955 -2.51 0.012 -1.243815 -.1537009 seas25 | -.1419827 .2778975 -0.51 0.609 -.6866517 .4026864 seas26 | -.9386224 .2795338 -3.36 0.001 -1.486499 -.3907462 seas27 | -.4317266 .2774084 -1.56 0.120 -.975437 .1119838 seas28 | -.7183483 .293954 -2.44 0.015 -1.294488 -.1422089 _Iarea_id_2 | -.2265527 .281115 -0.81 0.420 -.777528 .3244226 _Iarea_id_3 | -.1685411 .2926775 -0.58 0.565 -.7421785 .4050963 _Iarea_id_4 | -.5614382 .283508 -1.98 0.048 -1.117104 -.0057727 _Iarea_id_5 | -.4368911 .2997344 -1.46 0.145 -1.02436 .1505774 _Iarea_id_8 | .2157772 .2828197 0.76 0.445 -.3385393 .7700937 _Iarea_id_9 | -.417466 .3016697 -1.38 0.166 -1.008728 .1737956 _Iarea_id_10 | .3867582 .283483 1.36 0.172 -.1688583 .9423746 _Iarea_id_11 | -.4742918 .2777231 -1.71 0.088 -1.018619 .0700355 _Iarea_id_12 | .0535785 .2933505 0.18 0.855 -.521378 .628535 _Iarea_id_13 | .3017609 .3281907 0.92 0.358 -.3414811 .945003 _Iarea_id_14 | -.6418173 .3717377 -1.73 0.084 -1.37041 .0867753 _Iarea_id_15 | -.0785038 .2816686 -0.28 0.780 -.6305641 .4735566 _Iarea_id_16 | -.6704153 .3805021 -1.76 0.078 -1.416186 .0753552 _Iarea_id_17 | .9620869 .2781681 3.46 0.001 .4168874 1.507286 _Iarea_id_18 | .0589472 .2974293 0.20 0.843 -.5240036 .6418979 _Iarea_id_19 | .5384489 .3139854 1.71 0.086 -.0769512 1.153849 _Iarea_id_20 | -.2551023 .286944 -0.89 0.374 -.8175021 .3072976 _Iarea_id_21 | -.4266142 .3030075 -1.41 0.159 -1.020498 .1672696 _Iarea_id_22 | .355247 .285519 1.24 0.213 -.20436 .914854 _Iarea_id_23 | .261013 .3618829 0.72 0.471 -.4482644 .9702905 _Iarea_id_24 | .2052276 .3144728 0.65 0.514 -.4111276 .8215829 _Iarea_id_25 | .6498592 .3028398 2.15 0.032 .0563042 1.243414 _Iarea_id_26 | .2656963 .291896 0.91 0.363 -.3064094 .8378021 _Iarea_id_28 | .0015406 .2863199 0.01 0.996 -.5596362 .5627174 _Iarea_id_29 | .5416053 .2789812 1.94 0.052 -.0051878 1.088398 _Iarea_id_30 | -.6258434 .4025061 -1.55 0.120 -1.414741 .163054 _Iarea_id_31 | .2157186 .2847115 0.76 0.449 -.3423057 .7737429 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.027503 .3685206 8.22 0.000 2.305216 3.74979 _Iyear_1991 | 2.882056 .455952 6.32 0.000 1.988407 3.775706 _Iyear_1992 | 2.301288 .4839605 4.76 0.000 1.352743 3.249834 _Iyear_1993 | 1.895281 .4116742 4.60 0.000 1.088414 2.702148 _Iyear_1994 | 1.411024 .3155975 4.47 0.000 .7924643 2.029584 _Iyear_1995 | 1.119223 .2607626 4.29 0.000 .6081379 1.630308 _Iyear_1996 | .7950189 .240874 3.30 0.001 .3229144 1.267123 _Iyear_1997 | .3721262 .2114065 1.76 0.078 -.042223 .7864753 _Iyear_1998 | .4845217 .20012 2.42 0.015 .0922936 .8767498 _Iyear_1999 | .1708482 .206774 0.83 0.409 -.2344213 .5761177 _Iyear_2000 | .6127488 .2120845 2.89 0.004 .1970708 1.028427 _Iyear_2001 | 1.036163 .2109199 4.91 0.000 .6227681 1.449559 _Iyear_2002 | 1.03307 .3040476 3.40 0.001 .4371481 1.628993 _Iyear_2003 | .1574848 .3008319 0.52 0.601 -.4321349 .7471046 _Iyear_2004 | .3360895 .2593346 1.30 0.195 -.1721969 .8443759 _Iyear_2005 | .430967 .2556557 1.69 0.092 -.070109 .9320431 _Iyear_2006 | .9387589 .2337548 4.02 0.000 .4806078 1.39691 _Iyear_2007 | .3091844 .2302878 1.34 0.179 -.1421713 .7605401 _Iyear_2008 | .618358 .3858481 1.60 0.109 -.1378904 1.374606 _Iyear_2009 | 1.637546 .6910735 2.37 0.018 .2830669 2.992025 _Iyear_2010 | 1.072215 .7158924 1.50 0.134 -.3309078 2.475339 _Iyear_2011 | 1.6782 .6511771 2.58 0.010 .4019166 2.954484 _Iyear_2012 | 1.487091 .5412457 2.75 0.006 .4262691 2.547913 _Iyear_2013 | 1.050124 .4487733 2.34 0.019 .1705444 1.929703 _Iyear_2014 | .4999944 .3183941 1.57 0.116 -.1240465 1.124035 _Iyear_2015 | .517784 .2243556 2.31 0.021 .0780551 .9575128 _Iyear_2016 | .6580482 .2071947 3.18 0.001 .2519541 1.064142 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 2.988421 .8632115 3.46 0.001 1.296558 4.680284 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 bartik_mp3y First-stage regression summary statistics -------------------------------------------------------------------------- | Adjusted Partial Variable | R-sq. R-sq. R-sq. F(1,1439) Prob > F -------------+------------------------------------------------------------ ur | 0.8285 0.8183 0.0557 84.8107 0.0000 -------------------------------------------------------------------------- Minimum eigenvalue statistic = 84.8107 Critical Values # of endogenous regressors: 1 Ho: Instruments are weak # of excluded instruments: 1 --------------------------------------------------------------------- | 5% 10% 20% 30% 2SLS relative bias | (not available) -----------------------------------+--------------------------------- | 10% 15% 20% 25% 2SLS Size of nominal 5% Wald test | 16.38 8.96 6.66 5.53 LIML Size of nominal 5% Wald test | 16.38 8.96 6.66 5.53 --------------------------------------------------------------------- i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) =50579.26 Prob > chi2 = 0.0000 R-squared = 0.4871 Root MSE = 1.0377 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3918441 .2070747 -1.89 0.058 -.7977031 .0140148 lpic | .1025481 .0556174 1.84 0.065 -.0064599 .2115561 epi | .223852 .1394875 1.60 0.109 -.0495386 .4972425 seas1 | -.3431625 .1205125 -2.85 0.004 -.5793626 -.1069624 seas2 | -.8638514 .0998154 -8.65 0.000 -1.059486 -.6682168 seas3 | -.8989287 .0821998 -10.94 0.000 -1.060037 -.73782 seas4 | .0600615 .0832576 0.72 0.471 -.1031204 .2232435 seas5 | -.7351563 .0358829 -20.49 0.000 -.8054854 -.6648272 seas6 | -.018636 .1052587 -0.18 0.859 -.2249392 .1876672 seas7 | -.0920628 .0571178 -1.61 0.107 -.2040116 .019886 seas8 | -.504446 .0353872 -14.26 0.000 -.5738037 -.4350883 seas9 | .4079363 .0687481 5.93 0.000 .2731924 .5426802 seas10 | -.5014822 .0941474 -5.33 0.000 -.6860077 -.3169566 seas11 | -.3949246 .0314886 -12.54 0.000 -.4566412 -.333208 seas12 | -.6609895 .0744408 -8.88 0.000 -.8068909 -.5150882 seas13 | -1.006655 .0419064 -24.02 0.000 -1.08879 -.9245201 seas14 | -.4327469 .0151854 -28.50 0.000 -.4625098 -.402984 seas15 | -1.513971 .1131151 -13.38 0.000 -1.735672 -1.292269 seas16 | -1.544208 .0677792 -22.78 0.000 -1.677053 -1.411364 seas17 | -1.128522 .0721835 -15.63 0.000 -1.269999 -.9870452 seas18 | -.3585449 .0291078 -12.32 0.000 -.4155952 -.3014946 seas19 | -.454427 .0138698 -32.76 0.000 -.4816113 -.4272427 seas20 | -1.327946 .0637187 -20.84 0.000 -1.452832 -1.203059 seas21 | -1.662495 .1099775 -15.12 0.000 -1.878047 -1.446943 seas22 | -.7533223 .0546715 -13.78 0.000 -.8604765 -.646168 seas23 | -.907304 .0538256 -16.86 0.000 -1.0128 -.8018078 seas24 | -.698758 .0277451 -25.18 0.000 -.7531373 -.6443787 seas25 | -.1419827 .0259147 -5.48 0.000 -.1927745 -.0911908 seas26 | -.9386224 .0487926 -19.24 0.000 -1.034254 -.8429905 seas27 | -.4317266 .0070245 -61.46 0.000 -.4454945 -.4179588 seas28 | -.7183483 .1431254 -5.02 0.000 -.9988688 -.4378277 _Iarea_id_2 | -.2265527 .0608629 -3.72 0.000 -.3458418 -.1072636 _Iarea_id_3 | -.1685411 .1317508 -1.28 0.201 -.4267678 .0896857 _Iarea_id_4 | -.5614382 .0814425 -6.89 0.000 -.7210625 -.4018139 _Iarea_id_5 | -.4368911 .1611233 -2.71 0.007 -.752687 -.1210953 _Iarea_id_8 | .2157772 .0821603 2.63 0.009 .054746 .3768083 _Iarea_id_9 | -.417466 .1732381 -2.41 0.016 -.7570065 -.0779256 _Iarea_id_10 | .3867582 .0856777 4.51 0.000 .2188329 .5546835 _Iarea_id_11 | -.4742918 .0211216 -22.46 0.000 -.5156893 -.4328943 _Iarea_id_12 | .0535785 .1420385 0.38 0.706 -.2248118 .3319688 _Iarea_id_13 | .3017609 .2592054 1.16 0.244 -.2062722 .8097941 _Iarea_id_14 | -.6418173 .3577629 -1.79 0.073 -1.34302 .0593851 _Iarea_id_15 | -.0785038 .0657476 -1.19 0.232 -.2073667 .0503592 _Iarea_id_16 | -.6704153 .3758578 -1.78 0.074 -1.407083 .0662525 _Iarea_id_17 | .9620869 .0252228 38.14 0.000 .9126511 1.011523 _Iarea_id_18 | .0589472 .14939 0.39 0.693 -.2338518 .3517462 _Iarea_id_19 | .5384489 .0722972 7.45 0.000 .3967489 .6801489 _Iarea_id_20 | -.2551023 .1015164 -2.51 0.012 -.4540708 -.0561337 _Iarea_id_21 | -.4266142 .1723269 -2.48 0.013 -.7643687 -.0888597 _Iarea_id_22 | .355247 .0918041 3.87 0.000 .1753142 .5351798 _Iarea_id_23 | .261013 .200152 1.30 0.192 -.1312776 .6533037 _Iarea_id_24 | .2052276 .2136503 0.96 0.337 -.2135192 .6239744 _Iarea_id_25 | .6498592 .1801435 3.61 0.000 .2967844 1.002934 _Iarea_id_26 | .2656963 .1296565 2.05 0.040 .0115742 .5198185 _Iarea_id_28 | .0015406 .1010069 0.02 0.988 -.1964293 .1995105 _Iarea_id_29 | .5416053 .0395233 13.70 0.000 .464141 .6190697 _Iarea_id_30 | -.6258434 .4232411 -1.48 0.139 -1.455381 .203694 _Iarea_id_31 | .2157186 .0958337 2.25 0.024 .0278881 .4035491 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.027503 .5995057 5.05 0.000 1.852493 4.202513 _Iyear_1991 | 2.882056 .7126934 4.04 0.000 1.485203 4.27891 _Iyear_1992 | 2.301288 .7382428 3.12 0.002 .8543592 3.748218 _Iyear_1993 | 1.895281 .5709942 3.32 0.001 .776153 3.014409 _Iyear_1994 | 1.411024 .4584253 3.08 0.002 .5125269 2.309521 _Iyear_1995 | 1.119223 .321723 3.48 0.001 .4886576 1.749789 _Iyear_1996 | .7950189 .286253 2.78 0.005 .2339734 1.356064 _Iyear_1997 | .3721262 .241818 1.54 0.124 -.1018283 .8460806 _Iyear_1998 | .4845217 .1866216 2.60 0.009 .1187501 .8502932 _Iyear_1999 | .1708482 .1470566 1.16 0.245 -.1173774 .4590738 _Iyear_2000 | .6127488 .2078172 2.95 0.003 .2054345 1.020063 _Iyear_2001 | 1.036163 .2166799 4.78 0.000 .6114786 1.460848 _Iyear_2002 | 1.03307 .4373591 2.36 0.018 .1758623 1.890279 _Iyear_2003 | .1574848 .4911698 0.32 0.748 -.8051902 1.12016 _Iyear_2004 | .3360895 .3975367 0.85 0.398 -.4430681 1.115247 _Iyear_2005 | .430967 .3612191 1.19 0.233 -.2770093 1.138943 _Iyear_2006 | .9387589 .2766173 3.39 0.001 .3965989 1.480919 _Iyear_2007 | .3091844 .2850329 1.08 0.278 -.2494698 .8678387 _Iyear_2008 | .618358 .5498091 1.12 0.261 -.459248 1.695964 _Iyear_2009 | 1.637546 1.022444 1.60 0.109 -.3664077 3.6415 _Iyear_2010 | 1.072215 1.009773 1.06 0.288 -.906904 3.051335 _Iyear_2011 | 1.6782 .9676029 1.73 0.083 -.2182665 3.574667 _Iyear_2012 | 1.487091 .7671721 1.94 0.053 -.0165384 2.990721 _Iyear_2013 | 1.050124 .6507769 1.61 0.107 -.2253755 2.325623 _Iyear_2014 | .4999944 .3897913 1.28 0.200 -.2639825 1.263971 _Iyear_2015 | .517784 .22208 2.33 0.020 .0825152 .9530527 _Iyear_2016 | .6580482 .1632286 4.03 0.000 .3381261 .9779703 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 2.988421 1.194812 2.50 0.012 .6466333 5.330209 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 bartik_mp3y C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout . . xi: ivregress 2sls `inf_var' /// > (`ygap_var' = l(0/6).bartik_mp f(1/6).bartik_mp) `controls' /// > seas1-seas28 i.area_id i.year `sample' i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2015 omitted because of collinearity note: _Iyear_2016 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1413 Wald chi2(83) = 1238.99 Prob > chi2 = 0.0000 R-squared = 0.4862 Root MSE = 1.0531 ------------------------------------------------------------------------------ pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.2518704 .1066339 -2.36 0.018 -.460869 -.0428719 lpic | .119439 .0342664 3.49 0.000 .0522781 .1865999 epi | .2013838 .1511398 1.33 0.183 -.0948447 .4976123 seas1 | -.2163917 .2985199 -0.72 0.469 -.80148 .3686965 seas2 | -.8072291 .2968391 -2.72 0.007 -1.389023 -.2254353 seas3 | -.7208157 .2952973 -2.44 0.015 -1.299588 -.1420437 seas4 | .1477146 .2954265 0.50 0.617 -.4313107 .72674 seas5 | -.684228 .292817 -2.34 0.019 -1.258139 -.1103172 seas6 | .156655 .2975939 0.53 0.599 -.4266183 .7399282 seas7 | -.0303961 .2934033 -0.10 0.917 -.605456 .5446637 seas8 | -.4740298 .2927077 -1.62 0.105 -1.047726 .0996668 seas9 | .4880955 .2945367 1.66 0.097 -.0891859 1.065377 seas10 | -.3356791 .2965591 -1.13 0.258 -.9169242 .245566 seas11 | -.4268484 .2927735 -1.46 0.145 -1.000674 .1469771 seas12 | -.5831901 .294622 -1.98 0.048 -1.160639 -.0057416 seas13 | -.9619869 .2931053 -3.28 0.001 -1.536463 -.3875112 seas14 | -.3680325 .2922505 -1.26 0.208 -.9408331 .204768 seas15 | -1.577903 .2997231 -5.26 0.000 -2.16535 -.990457 seas16 | -1.661637 .2958381 -5.62 0.000 -2.241469 -1.081805 seas17 | -1.251489 .3592411 -3.48 0.000 -1.955589 -.5473898 seas18 | -.3206215 .2925483 -1.10 0.273 -.8940056 .2527627 seas19 | -.4802415 .2922442 -1.64 0.100 -1.05303 .0925466 seas20 | -1.385334 .2950079 -4.70 0.000 -1.963539 -.8071289 seas21 | -1.831563 .4199185 -4.36 0.000 -2.654588 -1.008538 seas22 | -.641785 .2936467 -2.19 0.029 -1.217322 -.0662481 seas23 | -.892447 .2936705 -3.04 0.002 -1.468031 -.3168634 seas24 | -.7443636 .2928214 -2.54 0.011 -1.318283 -.1704441 seas25 | -.129263 .2923747 -0.44 0.658 -.7023069 .4437809 seas26 | -1.012409 .2940228 -3.44 0.001 -1.588683 -.4361353 seas27 | -.383192 .2921772 -1.31 0.190 -.9558487 .1894648 seas28 | -.6774627 .3013304 -2.25 0.025 -1.268059 -.086866 _Iarea_id_2 | -.1372287 .2944213 -0.47 0.641 -.7142838 .4398265 _Iarea_id_3 | -.0903358 .2987854 -0.30 0.762 -.6759445 .4952729 _Iarea_id_4 | -.4621523 .2945463 -1.57 0.117 -1.039453 .1151479 _Iarea_id_5 | -.2995193 .3026967 -0.99 0.322 -.892794 .2937554 _Iarea_id_8 | .0549162 .2967931 0.19 0.853 -.5267875 .63662 _Iarea_id_9 | -.2767871 .3026928 -0.91 0.360 -.870054 .3164799 _Iarea_id_10 | .4063118 .2975105 1.37 0.172 -.176798 .9894216 _Iarea_id_11 | -.3998159 .2921622 -1.37 0.171 -.9724433 .1728116 _Iarea_id_12 | -.0605804 .3033687 -0.20 0.842 -.6551721 .5340113 _Iarea_id_13 | .16243 .328354 0.49 0.621 -.4811319 .805992 _Iarea_id_14 | -.3998303 .3446604 -1.16 0.246 -1.075352 .2756918 _Iarea_id_15 | .0031017 .2938626 0.01 0.992 -.5728585 .5790618 _Iarea_id_16 | -.3615107 .3505423 -1.03 0.302 -1.048561 .3255396 _Iarea_id_17 | .9810309 .2931999 3.35 0.001 .4063696 1.555692 _Iarea_id_18 | .0986581 .3047363 0.32 0.746 -.4986141 .6959303 _Iarea_id_19 | .6537004 .3311441 1.97 0.048 .0046699 1.302731 _Iarea_id_20 | -.1708911 .2964664 -0.58 0.564 -.7519546 .4101724 _Iarea_id_21 | -.3365667 .3038706 -1.11 0.268 -.9321422 .2590088 _Iarea_id_22 | .4556926 .296851 1.54 0.125 -.1261247 1.03751 _Iarea_id_23 | .3830441 .3769222 1.02 0.310 -.3557099 1.121798 _Iarea_id_24 | .2979627 .3085143 0.97 0.334 -.3067142 .9026397 _Iarea_id_25 | .4864772 .3110367 1.56 0.118 -.1231435 1.096098 _Iarea_id_26 | .3477659 .2981208 1.17 0.243 -.2365401 .9320719 _Iarea_id_28 | .0666028 .2959451 0.23 0.822 -.513439 .6466446 _Iarea_id_29 | .6009452 .2926315 2.05 0.040 .0273981 1.174492 _Iarea_id_30 | -.3275924 .3616059 -0.91 0.365 -1.036327 .3811421 _Iarea_id_31 | .2844492 .2959753 0.96 0.337 -.2956517 .8645501 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 2.484573 .3006573 8.26 0.000 1.895295 3.07385 _Iyear_1991 | 2.153062 .3181734 6.77 0.000 1.529454 2.77667 _Iyear_1992 | 1.47985 .3261613 4.54 0.000 .8405851 2.119114 _Iyear_1993 | 1.160857 .2807178 4.14 0.000 .6106599 1.711053 _Iyear_1994 | .786845 .2299555 3.42 0.001 .3361406 1.237549 _Iyear_1995 | .5687134 .2102211 2.71 0.007 .1566876 .9807392 _Iyear_1996 | .275433 .2062496 1.34 0.182 -.1288089 .6796749 _Iyear_1997 | -.084325 .2080744 -0.41 0.685 -.4921434 .3234934 _Iyear_1998 | .0821207 .226219 0.36 0.717 -.3612604 .5255018 _Iyear_1999 | -.1891117 .2350804 -0.80 0.421 -.6498608 .2716375 _Iyear_2000 | .2520111 .2317779 1.09 0.277 -.2022652 .7062874 _Iyear_2001 | .5549011 .2062539 2.69 0.007 .1506508 .9591514 _Iyear_2002 | .3878249 .2295345 1.69 0.091 -.0620545 .8377043 _Iyear_2003 | -.4930748 .2234439 -2.21 0.027 -.9310169 -.0551328 _Iyear_2004 | -.2334503 .2055877 -1.14 0.256 -.6363949 .1694943 _Iyear_2005 | -.075484 .2176627 -0.35 0.729 -.5020951 .3511272 _Iyear_2006 | .4894878 .218804 2.24 0.025 .0606398 .9183357 _Iyear_2007 | -.1439116 .2145758 -0.67 0.502 -.5644725 .2766492 _Iyear_2008 | .038866 .3112192 0.12 0.901 -.5711124 .6488444 _Iyear_2009 | .5596521 .4661869 1.20 0.230 -.3540574 1.473362 _Iyear_2010 | -.033123 .4820579 -0.07 0.945 -.9779392 .9116932 _Iyear_2011 | .6957832 .4430009 1.57 0.116 -.1724825 1.564049 _Iyear_2012 | .6089748 .3622598 1.68 0.093 -.1010414 1.318991 _Iyear_2013 | .2608441 .3005843 0.87 0.386 -.3282904 .8499786 _Iyear_2014 | -.136751 .2287638 -0.60 0.550 -.5851197 .3116177 _Iyear_2015 | 0 (omitted) _Iyear_2016 | 0 (omitted) _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 2.763796 .78945 3.50 0.000 1.216503 4.31109 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 bartik_mp L.bartik_mp L2.bartik_mp L3.bartik_mp L4.bartik_mp L5.bartik_mp L6.bartik_mp F.bartik_mp F2.bartik_mp F3.bartik_mp F4.bartik_mp F5.bartik_mp F6.bartik_mp . estat firststage, all First-stage regression summary statistics -------------------------------------------------------------------------- | Adjusted Partial Variable | R-sq. R-sq. R-sq. F(13,1317) Prob > F -------------+------------------------------------------------------------ ur | 0.8359 0.8241 0.1058 11.9867 0.0000 -------------------------------------------------------------------------- Shea's partial R-squared -------------------------------------------------- | Shea's Shea's Variable | Partial R-sq. Adj. Partial R-sq. -------------+------------------------------------ ur | 0.1058 0.0354 -------------------------------------------------- Minimum eigenvalue statistic = 11.9867 Critical Values # of endogenous regressors: 1 Ho: Instruments are weak # of excluded instruments: 13 --------------------------------------------------------------------- | 5% 10% 20% 30% 2SLS relative bias | 21.10 11.52 6.49 4.71 -----------------------------------+--------------------------------- | 10% 15% 20% 25% 2SLS Size of nominal 5% Wald test | 45.64 24.42 17.14 13.41 LIML Size of nominal 5% Wald test | 3.42 2.63 2.29 2.10 --------------------------------------------------------------------- . local fstat=round(el(r(singleresults),1,4),0.1) . . xi: ivregress 2sls `inf_var' /// > (`ygap_var' = l(0/6).bartik_mp f(1/6).bartik_mp) `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2015 omitted because of collinearity note: _Iyear_2016 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1413 Wald chi2(83) =58132.77 Prob > chi2 = 0.0000 R-squared = 0.4862 Root MSE = 1.0531 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.2518704 .1584127 -1.59 0.112 -.5623536 .0586127 lpic | .119439 .0490321 2.44 0.015 .0233378 .2155402 epi | .2013838 .1376637 1.46 0.144 -.0684322 .4711998 seas1 | -.2163917 .0918277 -2.36 0.018 -.3963707 -.0364128 seas2 | -.8072291 .080794 -9.99 0.000 -.9655825 -.6488758 seas3 | -.7208157 .0666024 -10.82 0.000 -.8513541 -.5902774 seas4 | .1477146 .0643322 2.30 0.022 .0216258 .2738035 seas5 | -.684228 .0328357 -20.84 0.000 -.7485849 -.6198712 seas6 | .156655 .0836745 1.87 0.061 -.007344 .3206539 seas7 | -.0303961 .0411426 -0.74 0.460 -.1110341 .0502418 seas8 | -.4740298 .0297609 -15.93 0.000 -.53236 -.4156996 seas9 | .4880955 .0544976 8.96 0.000 .3812821 .5949089 seas10 | -.3356791 .0760666 -4.41 0.000 -.4847669 -.1865912 seas11 | -.4268484 .0306597 -13.92 0.000 -.4869402 -.3667565 seas12 | -.5831901 .0585277 -9.96 0.000 -.6979023 -.4684779 seas13 | -.9619869 .0391304 -24.58 0.000 -1.038681 -.8852928 seas14 | -.3680325 .0141675 -25.98 0.000 -.3958003 -.3402648 seas15 | -1.577903 .0964539 -16.36 0.000 -1.76695 -1.388857 seas16 | -1.661637 .0682962 -24.33 0.000 -1.795495 -1.527779 seas17 | -1.251489 .0675971 -18.51 0.000 -1.383977 -1.119001 seas18 | -.3206215 .0240751 -13.32 0.000 -.3678078 -.2734352 seas19 | -.4802415 .0147934 -32.46 0.000 -.5092361 -.451247 seas20 | -1.385334 .0600631 -23.06 0.000 -1.503055 -1.267612 seas21 | -1.831563 .1083581 -16.90 0.000 -2.043941 -1.619185 seas22 | -.641785 .0476675 -13.46 0.000 -.7352116 -.5483583 seas23 | -.892447 .0431521 -20.68 0.000 -.9770235 -.8078705 seas24 | -.7443636 .029745 -25.02 0.000 -.8026627 -.6860644 seas25 | -.129263 .0197588 -6.54 0.000 -.1679896 -.0905364 seas26 | -1.012409 .047754 -21.20 0.000 -1.106005 -.9188133 seas27 | -.383192 .0106925 -35.84 0.000 -.4041489 -.362235 seas28 | -.6774627 .1119224 -6.05 0.000 -.8968265 -.4580988 _Iarea_id_2 | -.1372287 .0476343 -2.88 0.004 -.2305902 -.0438671 _Iarea_id_3 | -.0903358 .0873937 -1.03 0.301 -.2616244 .0809528 _Iarea_id_4 | -.4621523 .0511899 -9.03 0.000 -.5624827 -.361822 _Iarea_id_5 | -.2995193 .1114057 -2.69 0.007 -.5178705 -.0811681 _Iarea_id_8 | .0549162 .0778359 0.71 0.480 -.0976394 .2074719 _Iarea_id_9 | -.2767871 .1180788 -2.34 0.019 -.5082173 -.0453569 _Iarea_id_10 | .4063118 .0838526 4.85 0.000 .2419638 .5706598 _Iarea_id_11 | -.3998159 .0112568 -35.52 0.000 -.4218789 -.3777529 _Iarea_id_12 | -.0605804 .1241852 -0.49 0.626 -.3039789 .1828182 _Iarea_id_13 | .16243 .2265517 0.72 0.473 -.2816032 .6064633 _Iarea_id_14 | -.3998303 .2675674 -1.49 0.135 -.9242527 .1245921 _Iarea_id_15 | .0031017 .0405417 0.08 0.939 -.0763586 .0825619 _Iarea_id_16 | -.3615107 .2843856 -1.27 0.204 -.9188962 .1958748 _Iarea_id_17 | .9810309 .0351868 27.88 0.000 .912066 1.049996 _Iarea_id_18 | .0986581 .1194405 0.83 0.409 -.1354409 .3327572 _Iarea_id_19 | .6537004 .0447405 14.61 0.000 .5660106 .7413902 _Iarea_id_20 | -.1708911 .0691167 -2.47 0.013 -.3063574 -.0354247 _Iarea_id_21 | -.3365667 .117626 -2.86 0.004 -.5671094 -.106024 _Iarea_id_22 | .4556926 .0702655 6.49 0.000 .3179748 .5934105 _Iarea_id_23 | .3830441 .1682049 2.28 0.023 .0533686 .7127196 _Iarea_id_24 | .2979627 .145838 2.04 0.041 .0121255 .5838 _Iarea_id_25 | .4864772 .1623629 3.00 0.003 .1682519 .8047026 _Iarea_id_26 | .3477659 .0857975 4.05 0.000 .179606 .5159258 _Iarea_id_28 | .0666028 .0697905 0.95 0.340 -.0701841 .2033896 _Iarea_id_29 | .6009452 .0221315 27.15 0.000 .5575683 .6443221 _Iarea_id_30 | -.3275924 .3148072 -1.04 0.298 -.9446033 .2894184 _Iarea_id_31 | .2844492 .0725176 3.92 0.000 .1423174 .426581 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 2.484573 .4063983 6.11 0.000 1.688047 3.281099 _Iyear_1991 | 2.153062 .4554143 4.73 0.000 1.260466 3.045657 _Iyear_1992 | 1.47985 .4769085 3.10 0.002 .545126 2.414573 _Iyear_1993 | 1.160857 .3512337 3.31 0.001 .4724512 1.849262 _Iyear_1994 | .786845 .2828984 2.78 0.005 .2323743 1.341316 _Iyear_1995 | .5687134 .1641256 3.47 0.001 .2470331 .8903937 _Iyear_1996 | .275433 .1524994 1.81 0.071 -.0234603 .5743263 _Iyear_1997 | -.084325 .2102223 -0.40 0.688 -.4963532 .3277032 _Iyear_1998 | .0821207 .2396212 0.34 0.732 -.3875283 .5517696 _Iyear_1999 | -.1891117 .2407805 -0.79 0.432 -.6610327 .2828094 _Iyear_2000 | .2520111 .2357935 1.07 0.285 -.2101357 .714158 _Iyear_2001 | .5549011 .1982207 2.80 0.005 .1663956 .9434066 _Iyear_2002 | .3878249 .2820477 1.38 0.169 -.1649785 .9406283 _Iyear_2003 | -.4930748 .3051536 -1.62 0.106 -1.091165 .1050153 _Iyear_2004 | -.2334503 .2545734 -0.92 0.359 -.732405 .2655044 _Iyear_2005 | -.075484 .2179542 -0.35 0.729 -.5026664 .3516984 _Iyear_2006 | .4894878 .1583579 3.09 0.002 .179112 .7998635 _Iyear_2007 | -.1439116 .1888426 -0.76 0.446 -.5140364 .2262131 _Iyear_2008 | .038866 .3737428 0.10 0.917 -.6936565 .7713885 _Iyear_2009 | .5596521 .6787477 0.82 0.410 -.7706691 1.889973 _Iyear_2010 | -.033123 .6601391 -0.05 0.960 -1.326972 1.260726 _Iyear_2011 | .6957832 .6255726 1.11 0.266 -.5303166 1.921883 _Iyear_2012 | .6089748 .472268 1.29 0.197 -.3166536 1.534603 _Iyear_2013 | .2608441 .4198426 0.62 0.534 -.5620322 1.08372 _Iyear_2014 | -.136751 .1882216 -0.73 0.468 -.5056585 .2321565 _Iyear_2015 | 0 (omitted) _Iyear_2016 | 0 (omitted) _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 2.763796 1.038975 2.66 0.008 .7274433 4.80015 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 bartik_mp L.bartik_mp L2.bartik_mp L3.bartik_mp L4.bartik_mp L5.bartik_mp L6.bartik_mp F.bartik_mp F2.bartik_mp F3.bartik_mp F4.bartik_mp F5.bartik_mp F6.bartik_mp . . outreg2 using "`path_folder'`fig_folder'`bartikoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "6 leads and lags of Bartik", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout . . xi: ivregress 2sls `inf_var' (`ygap_var' = i.area_id*d3yrdef) `controls' /// > seas1-seas28 i.year i.area_id `sample' i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.area~d*d3yr~f _IareXd3yr_# (coded as above) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) = 1346.10 Prob > chi2 = 0.0000 R-squared = 0.4821 Root MSE = 1.0427 ------------------------------------------------------------------------------ pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.5080226 .0813285 -6.25 0.000 -.6674236 -.3486217 lpic | .0768099 .0298952 2.57 0.010 .0182164 .1354035 epi | .2151764 .1470609 1.46 0.143 -.0730576 .5034105 seas1 | -.4105654 .2826499 -1.45 0.146 -.9645491 .1434182 seas2 | -.9190749 .2816063 -3.26 0.001 -1.471013 -.3671367 seas3 | -.9437067 .2807799 -3.36 0.001 -1.494025 -.3933881 seas4 | .0130272 .2807029 0.05 0.963 -.5371403 .5631948 seas5 | -.7531152 .2792066 -2.70 0.007 -1.30035 -.2058803 seas6 | -.0773674 .2817418 -0.27 0.784 -.6295711 .4748364 seas7 | -.1239047 .2795789 -0.44 0.658 -.6718692 .4240599 seas8 | -.5234289 .2790578 -1.88 0.061 -1.070372 .0235144 seas9 | .3705415 .2801996 1.32 0.186 -.1786396 .9197226 seas10 | -.554517 .2811725 -1.97 0.049 -1.105605 -.003429 seas11 | -.4123307 .2790007 -1.48 0.139 -.9591621 .1345007 seas12 | -.7024582 .2802997 -2.51 0.012 -1.251835 -.153081 seas13 | -1.026409 .2794798 -3.67 0.000 -1.574179 -.4786386 seas14 | -.4405646 .2787943 -1.58 0.114 -.9869914 .1058622 seas15 | -1.455472 .2835431 -5.13 0.000 -2.011206 -.8997376 seas16 | -1.515924 .2813091 -5.39 0.000 -2.067279 -.9645678 seas17 | -1.094289 .3360586 -3.26 0.001 -1.752952 -.4356262 seas18 | -.3748682 .2789648 -1.34 0.179 -.9216291 .1718926 seas19 | -.4560329 .2788566 -1.64 0.102 -1.002582 .0905159 seas20 | -1.299215 .2807501 -4.63 0.000 -1.849475 -.7489547 seas21 | -1.608926 .3848255 -4.18 0.000 -2.36317 -.8546821 seas22 | -.7811798 .2797364 -2.79 0.005 -1.329453 -.2329066 seas23 | -.8798608 .2799698 -3.14 0.002 -1.428592 -.3311302 seas24 | -.6871907 .2791852 -2.46 0.014 -1.234384 -.1399978 seas25 | -.1561102 .2788665 -0.56 0.576 -.7026785 .3904582 seas26 | -.9140755 .2797835 -3.27 0.001 -1.462441 -.36571 seas27 | -.4306962 .2787358 -1.55 0.122 -.9770084 .1156159 seas28 | -.7978854 .2842952 -2.81 0.005 -1.355094 -.240677 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.199059 .3275146 9.77 0.000 2.557142 3.840976 _Iyear_1991 | 3.196665 .3309307 9.66 0.000 2.548053 3.845278 _Iyear_1992 | 2.659906 .3256501 8.17 0.000 2.021644 3.298169 _Iyear_1993 | 2.183064 .2951565 7.40 0.000 1.604567 2.76156 _Iyear_1994 | 1.602565 .2517011 6.37 0.000 1.10924 2.09589 _Iyear_1995 | 1.246168 .2287098 5.45 0.000 .797905 1.694431 _Iyear_1996 | .8934829 .2207846 4.05 0.000 .460753 1.326213 _Iyear_1997 | .4137978 .2082332 1.99 0.047 .0056682 .8219275 _Iyear_1998 | .4697047 .2005247 2.34 0.019 .0766836 .8627258 _Iyear_1999 | .1246917 .2024988 0.62 0.538 -.2721987 .5215821 _Iyear_2000 | .5798692 .2105129 2.75 0.006 .1672716 .9924668 _Iyear_2001 | 1.094369 .2036639 5.37 0.000 .6951947 1.493543 _Iyear_2002 | 1.220924 .2398885 5.09 0.000 .7507513 1.691097 _Iyear_2003 | .344041 .2368025 1.45 0.146 -.1200833 .8081653 _Iyear_2004 | .4650238 .225925 2.06 0.040 .0222189 .9078286 _Iyear_2005 | .5263401 .2382509 2.21 0.027 .0593769 .9933034 _Iyear_2006 | .9880871 .229562 4.30 0.000 .5381539 1.43802 _Iyear_2007 | .3628647 .2249883 1.61 0.107 -.0781042 .8038337 _Iyear_2008 | .8017817 .3408672 2.35 0.019 .1336943 1.469869 _Iyear_2009 | 2.180388 .4281805 5.09 0.000 1.34117 3.019607 _Iyear_2010 | 1.635457 .442393 3.70 0.000 .7683828 2.502532 _Iyear_2011 | 2.169025 .4287189 5.06 0.000 1.328752 3.009299 _Iyear_2012 | 1.890878 .3611361 5.24 0.000 1.183064 2.598691 _Iyear_2013 | 1.373387 .312026 4.40 0.000 .7618268 1.984946 _Iyear_2014 | .6940186 .2533231 2.74 0.006 .1975146 1.190523 _Iyear_2015 | .603167 .208389 2.89 0.004 .1947321 1.011602 _Iyear_2016 | .7126505 .200795 3.55 0.000 .3190995 1.106201 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _Iarea_id_2 | -.2595273 .2805035 -0.93 0.355 -.8093041 .2902495 _Iarea_id_3 | -.2435091 .2842246 -0.86 0.392 -.8005791 .313561 _Iarea_id_4 | -.6084249 .2809095 -2.17 0.030 -1.158997 -.0578525 _Iarea_id_5 | -.5282653 .2867697 -1.84 0.065 -1.090324 .0337929 _Iarea_id_8 | .2599567 .2806708 0.93 0.354 -.290148 .8100614 _Iarea_id_9 | -.5146838 .2868699 -1.79 0.073 -1.076938 .0475709 _Iarea_id_10 | .4348035 .2807023 1.55 0.121 -.1153629 .9849698 _Iarea_id_11 | -.4858906 .2788094 -1.74 0.081 -1.032347 .0605658 _Iarea_id_12 | .1307809 .2843185 0.46 0.646 -.4264732 .6880351 _Iarea_id_13 | .4448523 .2966145 1.50 0.134 -.1365014 1.026206 _Iarea_id_14 | -.8442477 .3129868 -2.70 0.007 -1.457691 -.2308048 _Iarea_id_15 | -.1144055 .2806997 -0.41 0.684 -.6645668 .4357557 _Iarea_id_16 | -.8834107 .3164904 -2.79 0.005 -1.50372 -.263101 _Iarea_id_17 | .9674822 .2794483 3.46 0.001 .4197736 1.515191 _Iarea_id_18 | -.0243531 .2868402 -0.08 0.932 -.5865496 .5378434 _Iarea_id_19 | .4954105 .3124989 1.59 0.113 -.1170761 1.107897 _Iarea_id_20 | -.313714 .2822128 -1.11 0.266 -.866841 .239413 _Iarea_id_21 | -.5250191 .2878812 -1.82 0.068 -1.089256 .0392176 _Iarea_id_22 | .3034113 .2820983 1.08 0.282 -.2494913 .8563139 _Iarea_id_23 | .1479911 .3453452 0.43 0.668 -.5288731 .8248552 _Iarea_id_24 | .0840827 .2914793 0.29 0.773 -.4872063 .6553717 _Iarea_id_25 | .7484848 .2876263 2.60 0.009 .1847477 1.312222 _Iarea_id_26 | .1916624 .283661 0.68 0.499 -.364303 .7476277 _Iarea_id_28 | -.0559921 .2817978 -0.20 0.843 -.6083057 .4963216 _Iarea_id_29 | .518631 .2793618 1.86 0.063 -.028908 1.06617 _Iarea_id_30 | -.8646762 .3251497 -2.66 0.008 -1.501958 -.2273946 _Iarea_id_31 | .267303 .28132 0.95 0.342 -.2840741 .8186801 _cons | 3.600384 .610339 5.90 0.000 2.404142 4.796627 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 d3yrdef _IareXd3yr_2 _IareXd3yr_3 _IareXd3yr_4 _IareXd3yr_5 _IareXd3yr_8 _IareXd3yr_9 _IareXd3yr_10 _IareXd3yr_11 _IareXd3yr_12 _IareXd3yr_13 _IareXd3yr_14 _IareXd3yr_15 _IareXd3yr_16 _IareXd3yr_17 _IareXd3yr_18 _IareXd3yr_19 _IareXd3yr_20 _IareXd3yr_21 _IareXd3yr_22 _IareXd3yr_23 _IareXd3yr_24 _IareXd3yr_25 _IareXd3yr_26 _IareXd3yr_28 _IareXd3yr_29 _IareXd3yr_30 _IareXd3yr_31 . estat firststage, all First-stage regression summary statistics -------------------------------------------------------------------------- | Adjusted Partial Variable | R-sq. R-sq. R-sq. F(28,1412) Prob > F -------------+------------------------------------------------------------ ur | 0.8494 0.8374 0.1708 10.3899 0.0000 -------------------------------------------------------------------------- Shea's partial R-squared -------------------------------------------------- | Shea's Shea's Variable | Partial R-sq. Adj. Partial R-sq. -------------+------------------------------------ ur | 0.1708 0.1012 -------------------------------------------------- Minimum eigenvalue statistic = 10.3899 Critical Values # of endogenous regressors: 1 Ho: Instruments are weak # of excluded instruments: 28 --------------------------------------------------------------------- | 5% 10% 20% 30% 2SLS relative bias | 21.42 11.34 6.13 4.32 -----------------------------------+--------------------------------- | 10% 15% 20% 25% 2SLS Size of nominal 5% Wald test | 81.40 42.37 29.12 22.43 LIML Size of nominal 5% Wald test | 3.86 2.20 1.92 1.77 --------------------------------------------------------------------- . local fstat=round(el(r(singleresults),1,4),0.1) . . xi: ivregress 2sls `inf_var' (`ygap_var' = i.area_id*d3yrdef) `controls' /// > seas1-seas28 i.year i.area_id `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.area~d*d3yr~f _IareXd3yr_# (coded as above) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Instrumental variables (2SLS) regression Number of obs = 1525 Wald chi2(85) = 2.3e+05 Prob > chi2 = 0.0000 R-squared = 0.4821 Root MSE = 1.0427 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.5080226 .1049245 -4.84 0.000 -.7136708 -.3023744 lpic | .0768099 .0344776 2.23 0.026 .009235 .1443849 epi | .2151764 .1394663 1.54 0.123 -.0581725 .4885254 seas1 | -.4105654 .0608898 -6.74 0.000 -.5299072 -.2912237 seas2 | -.9190749 .0558531 -16.46 0.000 -1.028545 -.8096048 seas3 | -.9437067 .0482964 -19.54 0.000 -1.038366 -.8490475 seas4 | .0130272 .0410972 0.32 0.751 -.0675217 .0935762 seas5 | -.7531152 .0249619 -30.17 0.000 -.8020397 -.7041907 seas6 | -.0773674 .0520917 -1.49 0.137 -.1794652 .0247305 seas7 | -.1239047 .0284105 -4.36 0.000 -.1795882 -.0682212 seas8 | -.5234289 .0204485 -25.60 0.000 -.5635073 -.4833505 seas9 | .3705415 .0340283 10.89 0.000 .3038473 .4372357 seas10 | -.554517 .0490147 -11.31 0.000 -.650584 -.4584499 seas11 | -.4123307 .0185177 -22.27 0.000 -.4486247 -.3760367 seas12 | -.7024582 .0410536 -17.11 0.000 -.7829217 -.6219947 seas13 | -1.026409 .0309555 -33.16 0.000 -1.087081 -.9657372 seas14 | -.4405646 .0109027 -40.41 0.000 -.4619336 -.4191957 seas15 | -1.455472 .0599073 -24.30 0.000 -1.572888 -1.338056 seas16 | -1.515924 .0453535 -33.42 0.000 -1.604815 -1.427032 seas17 | -1.094289 .0415076 -26.36 0.000 -1.175642 -1.012936 seas18 | -.3748682 .0169687 -22.09 0.000 -.4081263 -.3416102 seas19 | -.4560329 .0133974 -34.04 0.000 -.4822914 -.4297744 seas20 | -1.299215 .0396859 -32.74 0.000 -1.376998 -1.221432 seas21 | -1.608926 .0639663 -25.15 0.000 -1.734298 -1.483555 seas22 | -.7811798 .0351759 -22.21 0.000 -.8501234 -.7122362 seas23 | -.8798608 .0302415 -29.09 0.000 -.9391331 -.8205885 seas24 | -.6871907 .0194614 -35.31 0.000 -.7253344 -.6490471 seas25 | -.1561102 .0133728 -11.67 0.000 -.1823204 -.1299 seas26 | -.9140755 .0279814 -32.67 0.000 -.9689181 -.8592329 seas27 | -.4306962 .006678 -64.50 0.000 -.4437848 -.4176077 seas28 | -.7978854 .0750445 -10.63 0.000 -.94497 -.6508008 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | 3.199059 .3936309 8.13 0.000 2.427556 3.970561 _Iyear_1991 | 3.196665 .3446969 9.27 0.000 2.521072 3.872259 _Iyear_1992 | 2.659906 .3750528 7.09 0.000 1.924816 3.394996 _Iyear_1993 | 2.183064 .2920878 7.47 0.000 1.610582 2.755545 _Iyear_1994 | 1.602565 .2805982 5.71 0.000 1.052603 2.152527 _Iyear_1995 | 1.246168 .2031072 6.14 0.000 .8480853 1.644251 _Iyear_1996 | .8934829 .209923 4.26 0.000 .4820414 1.304924 _Iyear_1997 | .4137978 .2143337 1.93 0.054 -.0062884 .8338841 _Iyear_1998 | .4697047 .1890483 2.48 0.013 .0991769 .8402324 _Iyear_1999 | .1246917 .1534099 0.81 0.416 -.1759862 .4253695 _Iyear_2000 | .5798692 .2144009 2.70 0.007 .1596512 1.000087 _Iyear_2001 | 1.094369 .1897051 5.77 0.000 .7225536 1.466184 _Iyear_2002 | 1.220924 .2674078 4.57 0.000 .6968146 1.745034 _Iyear_2003 | .344041 .2908334 1.18 0.237 -.2259819 .9140639 _Iyear_2004 | .4650238 .3031881 1.53 0.125 -.1292139 1.059261 _Iyear_2005 | .5263401 .2608648 2.02 0.044 .0150545 1.037626 _Iyear_2006 | .9880871 .2346305 4.21 0.000 .5282197 1.447954 _Iyear_2007 | .3628647 .2263102 1.60 0.109 -.0806951 .8064245 _Iyear_2008 | .8017817 .3886561 2.06 0.039 .0400298 1.563534 _Iyear_2009 | 2.180388 .435561 5.01 0.000 1.326704 3.034072 _Iyear_2010 | 1.635457 .48892 3.35 0.001 .6771915 2.593723 _Iyear_2011 | 2.169025 .4498985 4.82 0.000 1.28724 3.05081 _Iyear_2012 | 1.890878 .3779775 5.00 0.000 1.150055 2.6317 _Iyear_2013 | 1.373387 .3417235 4.02 0.000 .7036207 2.043152 _Iyear_2014 | .6940186 .2173746 3.19 0.001 .2679721 1.120065 _Iyear_2015 | .603167 .1571462 3.84 0.000 .2951661 .9111679 _Iyear_2016 | .7126505 .1169658 6.09 0.000 .4834017 .9418993 _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _Iarea_id_2 | -.2595273 .0342592 -7.58 0.000 -.326674 -.1923806 _Iarea_id_3 | -.2435091 .0657027 -3.71 0.000 -.372284 -.1147341 _Iarea_id_4 | -.6084249 .0420804 -14.46 0.000 -.6909011 -.5259488 _Iarea_id_5 | -.5282653 .0799094 -6.61 0.000 -.6848849 -.3716458 _Iarea_id_8 | .2599567 .0406228 6.40 0.000 .1803374 .339576 _Iarea_id_9 | -.5146838 .0875307 -5.88 0.000 -.6862407 -.3431268 _Iarea_id_10 | .4348035 .0436282 9.97 0.000 .3492937 .5203132 _Iarea_id_11 | -.4858906 .0118106 -41.14 0.000 -.509039 -.4627422 _Iarea_id_12 | .1307809 .0756792 1.73 0.084 -.0175476 .2791095 _Iarea_id_13 | .4448523 .1349723 3.30 0.001 .1803114 .7093931 _Iarea_id_14 | -.8442477 .1799885 -4.69 0.000 -1.197019 -.4914768 _Iarea_id_15 | -.1144055 .036267 -3.15 0.002 -.1854876 -.0433235 _Iarea_id_16 | -.8834107 .1906315 -4.63 0.000 -1.257042 -.5097798 _Iarea_id_17 | .9674822 .0232933 41.53 0.000 .9218281 1.013136 _Iarea_id_18 | -.0243531 .0762881 -0.32 0.750 -.173875 .1251688 _Iarea_id_19 | .4954105 .0481677 10.29 0.000 .4010035 .5898175 _Iarea_id_20 | -.313714 .0525177 -5.97 0.000 -.4166468 -.2107812 _Iarea_id_21 | -.5250191 .0862866 -6.08 0.000 -.6941377 -.3559006 _Iarea_id_22 | .3034113 .048115 6.31 0.000 .2091076 .3977151 _Iarea_id_23 | .1479911 .1004804 1.47 0.141 -.0489468 .3449289 _Iarea_id_24 | .0840827 .1093687 0.77 0.442 -.130276 .2984414 _Iarea_id_25 | .7484848 .0961899 7.78 0.000 .559956 .9370135 _Iarea_id_26 | .1916624 .0661089 2.90 0.004 .0620912 .3212335 _Iarea_id_28 | -.0559921 .0542248 -1.03 0.302 -.1622707 .0502866 _Iarea_id_29 | .518631 .0216361 23.97 0.000 .4762251 .5610369 _Iarea_id_30 | -.8646762 .2149981 -4.02 0.000 -1.286065 -.4432877 _Iarea_id_31 | .267303 .0516844 5.17 0.000 .1660035 .3686025 _cons | 3.600384 .6959366 5.17 0.000 2.236374 4.964395 ------------------------------------------------------------------------------ Instrumented: ur Instruments: lpic epi seas1 seas2 seas3 seas4 seas5 seas6 seas7 seas8 seas9 seas10 seas11 seas12 seas13 seas14 seas15 seas16 seas17 seas18 seas19 seas20 seas21 seas22 seas23 seas24 seas25 seas26 seas27 seas28 _Iyear_1990 _Iyear_1991 _Iyear_1992 _Iyear_1993 _Iyear_1994 _Iyear_1995 _Iyear_1996 _Iyear_1997 _Iyear_1998 _Iyear_1999 _Iyear_2000 _Iyear_2001 _Iyear_2002 _Iyear_2003 _Iyear_2004 _Iyear_2005 _Iyear_2006 _Iyear_2007 _Iyear_2008 _Iyear_2009 _Iyear_2010 _Iyear_2011 _Iyear_2012 _Iyear_2013 _Iyear_2014 _Iyear_2015 _Iyear_2016 _Iarea_id_2 _Iarea_id_3 _Iarea_id_4 _Iarea_id_5 _Iarea_id_8 _Iarea_id_9 _Iarea_id_10 _Iarea_id_11 _Iarea_id_12 _Iarea_id_13 _Iarea_id_14 _Iarea_id_15 _Iarea_id_16 _Iarea_id_17 _Iarea_id_18 _Iarea_id_19 _Iarea_id_20 _Iarea_id_21 _Iarea_id_22 _Iarea_id_23 _Iarea_id_24 _Iarea_id_25 _Iarea_id_26 _Iarea_id_28 _Iarea_id_29 _Iarea_id_30 _Iarea_id_31 d3yrdef _IareXd3yr_2 _IareXd3yr_3 _IareXd3yr_4 _IareXd3yr_5 _IareXd3yr_8 _IareXd3yr_9 _IareXd3yr_10 _IareXd3yr_11 _IareXd3yr_12 _IareXd3yr_13 _IareXd3yr_14 _IareXd3yr_15 _IareXd3yr_16 _IareXd3yr_17 _IareXd3yr_18 _IareXd3yr_19 _IareXd3yr_20 _IareXd3yr_21 _IareXd3yr_22 _IareXd3yr_23 _IareXd3yr_24 _IareXd3yr_25 _IareXd3yr_26 _IareXd3yr_28 _IareXd3yr_29 _IareXd3yr_30 _IareXd3yr_31 . . outreg2 using "`path_folder'`fig_folder'`bartikoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "Interacted with FE", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\bartik_table.tex dir : seeout . . ******************************************************************************* . ********************************* FIRST STAGE ********************************* . ******************************************************************************* . . local firstoutput "\firststage_table.tex" . local tab3_options /// > nocons tex label /// > bracket bdec(3) . . xi: regress `ygap_var' bartik_defmp3y `controls' /// > seas1-seas28 i.area_id `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) Linear regression Number of obs = 1525 F( 2, 27) = . Prob > F = . R-squared = 0.2959 Root MSE = 1.5951 (Std. Err. adjusted for 28 clusters in area_id) -------------------------------------------------------------------------------- | Robust ur | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- bartik_defmp3y | 10.247 1.157907 8.85 0.000 7.871173 12.62283 lpic | -.246553 .059105 -4.17 0.000 -.3678265 -.1252794 epi | .2645702 .1087987 2.43 0.022 .0413336 .4878068 seas1 | -.5703868 .0014843 -384.28 0.000 -.5734323 -.5673412 seas2 | -.4579111 .0281713 -16.25 0.000 -.5157138 -.4001083 seas3 | -.3659955 .0327789 -11.17 0.000 -.4332523 -.2987387 seas4 | -.4078227 .0165918 -24.58 0.000 -.4418663 -.373779 seas5 | -.1428031 .0273193 -5.23 0.000 -.1988576 -.0867485 seas6 | -.4953299 .011112 -44.58 0.000 -.5181298 -.47253 seas7 | -.2619371 .0045936 -57.02 0.000 -.2713624 -.2525117 seas8 | -.1490032 .0142463 -10.46 0.000 -.1782342 -.1197722 seas9 | -.3252268 .0314635 -10.34 0.000 -.3897846 -.2606689 seas10 | -.4510198 .0069586 -64.81 0.000 -.4652977 -.436742 seas11 | -.1398467 .0110247 -12.68 0.000 -.1624676 -.1172259 seas12 | -.3471078 .0176152 -19.71 0.000 -.3832511 -.3109644 seas13 | -.1497106 .0381311 -3.93 0.001 -.2279491 -.0714721 seas14 | -.0691269 .0102189 -6.76 0.000 -.0900944 -.0481593 seas15 | .5326887 .0791328 6.73 0.000 .3703216 .6950557 seas16 | .2744131 .0799666 3.43 0.002 .1103351 .4384911 seas17 | .2477485 .0654378 3.79 0.001 .1134812 .3820157 seas18 | -.1388051 .0084238 -16.48 0.000 -.1560892 -.121521 seas19 | -.0028517 .0215269 -0.13 0.896 -.0470212 .0413178 seas20 | .2730968 .0664256 4.11 0.000 .1368028 .4093908 seas21 | .5101652 .102093 5.00 0.000 .3006877 .7196427 seas22 | -.2138723 .0357415 -5.98 0.000 -.2872077 -.1405368 seas23 | .2716395 .0462752 5.87 0.000 .1766907 .3665884 seas24 | .1248414 .0363404 3.44 0.002 .0502772 .1994057 seas25 | -.1017685 .0031719 -32.08 0.000 -.1082767 -.0952603 seas26 | .2456023 .0442071 5.56 0.000 .1548968 .3363078 seas27 | .0204294 .0129524 1.58 0.126 -.0061468 .0470055 seas28 | -.6707327 .0190012 -35.30 0.000 -.7097199 -.6317454 _Iarea_id_2 | -.3435876 .0485825 -7.07 0.000 -.4432705 -.2439046 _Iarea_id_3 | -.7014289 .0398832 -17.59 0.000 -.7832624 -.6195954 _Iarea_id_4 | -.445823 .0161504 -27.60 0.000 -.4789608 -.4126851 _Iarea_id_5 | -.832535 .0486642 -17.11 0.000 -.9323857 -.7326844 _Iarea_id_8 | .3570762 .0174846 20.42 0.000 .3212007 .3929517 _Iarea_id_9 | -.847818 .0020676 -410.04 0.000 -.8520604 -.8435755 _Iarea_id_10 | .4169879 .0018957 219.97 0.000 .4130983 .4208774 _Iarea_id_11 | -.0969888 .0063924 -15.17 0.000 -.1101048 -.0838727 _Iarea_id_12 | .6205873 .0293735 21.13 0.000 .5603179 .6808567 _Iarea_id_13 | 1.179247 .0324419 36.35 0.000 1.112681 1.245812 _Iarea_id_14 | -1.783766 .0248792 -71.70 0.000 -1.834814 -1.732718 _Iarea_id_15 | -.365685 .0494024 -7.40 0.000 -.4670503 -.2643197 _Iarea_id_16 | -1.863392 .0182748 -101.97 0.000 -1.900889 -1.825895 _Iarea_id_17 | .0034665 .0365822 0.09 0.925 -.0715939 .0785268 _Iarea_id_18 | -.7827674 .0807741 -9.69 0.000 -.9485023 -.6170326 _Iarea_id_19 | -.4794963 .0443095 -10.82 0.000 -.5704119 -.3885807 _Iarea_id_20 | -.5480149 .0228728 -23.96 0.000 -.5949461 -.5010838 _Iarea_id_21 | -.9080467 .0407962 -22.26 0.000 -.9917536 -.8243398 _Iarea_id_22 | -.500495 .0505843 -9.89 0.000 -.6042854 -.3967046 _Iarea_id_23 | -.8855564 .1098443 -8.06 0.000 -1.110938 -.6601745 _Iarea_id_24 | -1.063009 .0069786 -152.32 0.000 -1.077328 -1.04869 _Iarea_id_25 | .8009053 .0368762 21.72 0.000 .7252417 .876569 _Iarea_id_26 | -.6585555 .0118204 -55.71 0.000 -.6828089 -.6343021 _Iarea_id_28 | -.5319506 .0121872 -43.65 0.000 -.5569567 -.5069446 _Iarea_id_29 | -.2347654 .0136357 -17.22 0.000 -.2627435 -.2067874 _Iarea_id_30 | -2.065344 .0085764 -240.82 0.000 -2.082941 -2.047746 _Iarea_id_31 | .427636 .0239566 17.85 0.000 .3784811 .4767909 _cons | 5.892817 .2834688 20.79 0.000 5.311187 6.474447 -------------------------------------------------------------------------------- . . outreg2 using "`path_folder'`fig_folder'`firstoutput'", /// > replace `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "No", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\firststage_table.tex dir : seeout . . xi: regress `ygap_var' bartik_defmp3y `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2002 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.8283 Root MSE = .79498 (Std. Err. adjusted for 28 clusters in area_id) -------------------------------------------------------------------------------- | Robust ur | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- bartik_defmp3y | 9.236762 2.103618 4.39 0.000 4.920495 13.55303 lpic | -.2122886 .0365784 -5.80 0.000 -.2873414 -.1372359 epi | -.1671448 .1423401 -1.17 0.251 -.4592027 .1249131 seas1 | -.5751611 .0020571 -279.59 0.000 -.579382 -.5709402 seas2 | -.4676416 .0185732 -25.18 0.000 -.5057506 -.4295326 seas3 | -.3784091 .0213834 -17.70 0.000 -.4222843 -.3345339 seas4 | -.3915355 .0100577 -38.93 0.000 -.4121721 -.3708988 seas5 | -.1514343 .0178216 -8.50 0.000 -.1880013 -.1148673 seas6 | -.4968215 .0075921 -65.44 0.000 -.5123992 -.4812439 seas7 | -.2649997 .0037236 -71.17 0.000 -.27264 -.2573595 seas8 | -.1621228 .0088065 -18.41 0.000 -.1801922 -.1440534 seas9 | -.3120787 .0196798 -15.86 0.000 -.3524584 -.271699 seas10 | -.4480054 .0059203 -75.67 0.000 -.4601528 -.435858 seas11 | -.1395551 .0083714 -16.67 0.000 -.1567317 -.1223784 seas12 | -.3503415 .0120401 -29.10 0.000 -.3750457 -.3256373 seas13 | -.1650745 .0245997 -6.71 0.000 -.2155488 -.1146001 seas14 | -.0643539 .0079008 -8.15 0.000 -.0805651 -.0481427 seas15 | .4971489 .0499168 9.96 0.000 .3947282 .5995697 seas16 | .2382239 .0504727 4.72 0.000 .1346624 .3417853 seas17 | .2817284 .0389286 7.24 0.000 .2018534 .3616034 seas18 | -.1334524 .0071324 -18.71 0.000 -.1480868 -.118818 seas19 | -.0056495 .0148582 -0.38 0.707 -.0361361 .0248371 seas20 | .2446955 .0421367 5.81 0.000 .1582381 .331153 seas21 | .4531547 .0636224 7.12 0.000 .3226123 .5836971 seas22 | -.2419187 .0219362 -11.03 0.000 -.286928 -.1969094 seas23 | .2369048 .0285971 8.28 0.000 .1782283 .2955812 seas24 | .0965485 .0222768 4.33 0.000 .0508403 .1422566 seas25 | -.1112522 .0037905 -29.35 0.000 -.1190296 -.1034748 seas26 | .212094 .0273154 7.76 0.000 .1560475 .2681406 seas27 | .0061674 .0078941 0.78 0.441 -.01003 .0223648 seas28 | -.6884914 .0115335 -59.70 0.000 -.7121561 -.6648267 _Iarea_id_2 | -.2814043 .0302118 -9.31 0.000 -.3433939 -.2194147 _Iarea_id_3 | -.6443676 .0252662 -25.50 0.000 -.6962095 -.5925256 _Iarea_id_4 | -.4037829 .0134925 -29.93 0.000 -.4314671 -.3760987 _Iarea_id_5 | -.77185 .0298896 -25.82 0.000 -.8331785 -.7105215 _Iarea_id_8 | .3769958 .0153557 24.55 0.000 .3454885 .408503 _Iarea_id_9 | -.8456162 .0024729 -341.95 0.000 -.8506903 -.8405422 _Iarea_id_10 | .417568 .0013432 310.87 0.000 .4148119 .4203241 _Iarea_id_11 | -.100711 .0039596 -25.43 0.000 -.1088355 -.0925865 _Iarea_id_12 | .6705287 .0193519 34.65 0.000 .6308219 .7102356 _Iarea_id_13 | 1.231817 .0211844 58.15 0.000 1.18835 1.275284 _Iarea_id_14 | -1.736618 .0170999 -101.56 0.000 -1.771704 -1.701532 _Iarea_id_15 | -.303405 .030572 -9.92 0.000 -.3661336 -.2406763 _Iarea_id_16 | -1.812413 .0167308 -108.33 0.000 -1.846742 -1.778085 _Iarea_id_17 | .0665353 .0242345 2.75 0.011 .0168102 .1162604 _Iarea_id_18 | -.6931758 .049112 -14.11 0.000 -.7939453 -.5924063 _Iarea_id_19 | -.3202063 .0480809 -6.66 0.000 -.4188602 -.2215525 _Iarea_id_20 | -.492719 .0181605 -27.13 0.000 -.5299812 -.4554569 _Iarea_id_21 | -.8406344 .0266561 -31.54 0.000 -.8953281 -.7859407 _Iarea_id_22 | -.4284716 .0317039 -13.51 0.000 -.4935225 -.3634206 _Iarea_id_23 | -.9838232 .074239 -13.25 0.000 -1.136149 -.8314973 _Iarea_id_24 | -1.033991 .0100564 -102.82 0.000 -1.054625 -1.013357 _Iarea_id_25 | .8513874 .0231313 36.81 0.000 .8039259 .8988489 _Iarea_id_26 | -.6251917 .0108461 -57.64 0.000 -.6474461 -.6029373 _Iarea_id_28 | -.5070616 .0128983 -39.31 0.000 -.5335267 -.4805965 _Iarea_id_29 | -.198587 .0115749 -17.16 0.000 -.2223367 -.1748372 _Iarea_id_30 | -2.035606 .0105665 -192.65 0.000 -2.057286 -2.013925 _Iarea_id_31 | .467484 .0159755 29.26 0.000 .434705 .500263 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | .1451713 .2596447 0.56 0.581 -.3875756 .6779182 _Iyear_1991 | 1.335728 .2890146 4.62 0.000 .7427191 1.928737 _Iyear_1992 | 1.870522 .2784563 6.72 0.000 1.299177 2.441867 _Iyear_1993 | 1.448347 .2786019 5.20 0.000 .8767032 2.019991 _Iyear_1994 | .8693895 .2909397 2.99 0.006 .2724306 1.466348 _Iyear_1995 | .2995991 .2741688 1.09 0.284 -.2629487 .862147 _Iyear_1996 | -.0097671 .2628171 -0.04 0.971 -.5490233 .5294891 _Iyear_1997 | -.63278 .2556151 -2.48 0.020 -1.157259 -.1083011 _Iyear_1998 | -1.211415 .2317605 -5.23 0.000 -1.686948 -.7358816 _Iyear_1999 | -1.600311 .20772 -7.70 0.000 -2.026517 -1.174105 _Iyear_2000 | -1.464354 .1828386 -8.01 0.000 -1.839508 -1.0892 _Iyear_2001 | -.9431383 .100167 -9.42 0.000 -1.148664 -.7376127 _Iyear_2002 | 0 (omitted) _Iyear_2003 | -.3751983 .1032362 -3.63 0.001 -.5870215 -.1633751 _Iyear_2004 | -.9175078 .1651156 -5.56 0.000 -1.256297 -.5787186 _Iyear_2005 | -1.002961 .1767761 -5.67 0.000 -1.365676 -.6402465 _Iyear_2006 | -1.113418 .179849 -6.19 0.000 -1.482437 -.744398 _Iyear_2007 | -.9584936 .1994765 -4.81 0.000 -1.367786 -.5492016 _Iyear_2008 | .0352363 .2623868 0.13 0.894 -.5031368 .5736095 _Iyear_2009 | 2.754445 .2545414 10.82 0.000 2.232169 3.276721 _Iyear_2010 | 2.884313 .2393179 12.05 0.000 2.393273 3.375353 _Iyear_2011 | 2.666271 .2789891 9.56 0.000 2.093833 3.238709 _Iyear_2012 | 2.248337 .2782688 8.08 0.000 1.677376 2.819297 _Iyear_2013 | 1.971848 .335779 5.87 0.000 1.282887 2.66081 _Iyear_2014 | .9504272 .3178631 2.99 0.006 .2982259 1.602628 _Iyear_2015 | -.0482106 .2561197 -0.19 0.852 -.5737249 .4773036 _Iyear_2016 | -.603562 .2157805 -2.80 0.009 -1.046307 -.160817 _Iyear_2017 | -1.196971 .1990308 -6.01 0.000 -1.605348 -.7885933 _Iyear_2018 | 0 (omitted) _cons | 6.801069 .4002926 16.99 0.000 5.979737 7.622402 -------------------------------------------------------------------------------- . . outreg2 using "`path_folder'`fig_folder'`firstoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\firststage_table.tex dir : seeout . . xi: regress `ygap_var' bartik_mp3y `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2002 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.8285 Root MSE = .79464 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust ur | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- bartik_mp3y | 11.0266 2.4335 4.53 0.000 6.033465 16.01973 lpic | -.2119065 .0365817 -5.79 0.000 -.286966 -.136847 epi | -.1632837 .1448275 -1.13 0.269 -.4604451 .1338777 seas1 | -.5769873 .0017888 -322.55 0.000 -.5806577 -.5733169 seas2 | -.4712561 .0184203 -25.58 0.000 -.5090515 -.4334607 seas3 | -.3820683 .0212393 -17.99 0.000 -.4256477 -.3384888 seas4 | -.3944251 .0100386 -39.29 0.000 -.4150227 -.3738276 seas5 | -.1535398 .0177358 -8.66 0.000 -.1899308 -.1171489 seas6 | -.4993846 .0074247 -67.26 0.000 -.5146188 -.4841505 seas7 | -.2679225 .0033437 -80.13 0.000 -.2747831 -.2610619 seas8 | -.1635842 .0087969 -18.60 0.000 -.1816339 -.1455345 seas9 | -.3136896 .0196376 -15.97 0.000 -.3539827 -.2733966 seas10 | -.4506606 .0057397 -78.52 0.000 -.4624376 -.4388837 seas11 | -.1430177 .0081391 -17.57 0.000 -.1597178 -.1263175 seas12 | -.3530034 .0119136 -29.63 0.000 -.377448 -.3285587 seas13 | -.1683763 .0244805 -6.88 0.000 -.2186061 -.1181465 seas14 | -.0652419 .0078536 -8.31 0.000 -.0813562 -.0491276 seas15 | .4953252 .0498341 9.94 0.000 .3930741 .5975764 seas16 | .2359866 .0503843 4.68 0.000 .1326064 .3393667 seas17 | .2782298 .0388529 7.16 0.000 .1985103 .3579492 seas18 | -.1355569 .0070291 -19.29 0.000 -.1499795 -.1211343 seas19 | -.0088722 .0147039 -0.60 0.551 -.039042 .0212977 seas20 | .2423813 .0420447 5.76 0.000 .1561126 .32865 seas21 | .4531021 .0636061 7.12 0.000 .3225933 .583611 seas22 | -.243643 .0219624 -11.09 0.000 -.2887062 -.1985798 seas23 | .2336745 .0285821 8.18 0.000 .1750288 .2923202 seas24 | .0950728 .0223102 4.26 0.000 .049296 .1408495 seas25 | -.1150797 .0031631 -36.38 0.000 -.1215698 -.1085895 seas26 | .2089428 .0273007 7.65 0.000 .1529264 .2649593 seas27 | .005922 .007951 0.74 0.463 -.0103921 .022236 seas28 | -.6887035 .0115898 -59.42 0.000 -.7124839 -.6649231 _Iarea_id_2 | -.3500616 .0351386 -9.96 0.000 -.42216 -.2779633 _Iarea_id_3 | -.7137707 .0309868 -23.03 0.000 -.7773504 -.6501911 _Iarea_id_4 | -.4523611 .0181547 -24.92 0.000 -.4896114 -.4151108 _Iarea_id_5 | -.7706163 .0301973 -25.52 0.000 -.832576 -.7086567 _Iarea_id_8 | .3380698 .0177783 19.02 0.000 .3015918 .3745477 _Iarea_id_9 | -.8976995 .0136045 -65.99 0.000 -.9256136 -.8697855 _Iarea_id_10 | .4389628 .0056245 78.04 0.000 .4274221 .4505034 _Iarea_id_11 | -.1000309 .0039677 -25.21 0.000 -.108172 -.0918898 _Iarea_id_12 | .6399015 .0210135 30.45 0.000 .5967852 .6830177 _Iarea_id_13 | 1.164929 .0272514 42.75 0.000 1.109014 1.220844 _Iarea_id_14 | -1.764334 .0186185 -94.76 0.000 -1.802536 -1.726132 _Iarea_id_15 | -.3545215 .0334757 -10.59 0.000 -.4232079 -.2858352 _Iarea_id_16 | -1.758735 .0224829 -78.23 0.000 -1.804867 -1.712604 _Iarea_id_17 | .0976439 .0260943 3.74 0.001 .0441029 .151185 _Iarea_id_18 | -.6807521 .049608 -13.72 0.000 -.7825392 -.5789649 _Iarea_id_19 | -.3071737 .0487813 -6.30 0.000 -.4072646 -.2070828 _Iarea_id_20 | -.4961141 .0185378 -26.76 0.000 -.5341505 -.4580777 _Iarea_id_21 | -.8918751 .0298491 -29.88 0.000 -.9531204 -.8306298 _Iarea_id_22 | -.4238943 .0321512 -13.18 0.000 -.489863 -.3579255 _Iarea_id_23 | -1.012084 .0758062 -13.35 0.000 -1.167625 -.8565426 _Iarea_id_24 | -1.019804 .0110633 -92.18 0.000 -1.042504 -.9971038 _Iarea_id_25 | .7989562 .0268725 29.73 0.000 .7438183 .8540941 _Iarea_id_26 | -.5992183 .0132187 -45.33 0.000 -.6263409 -.5720957 _Iarea_id_28 | -.6008227 .0265587 -22.62 0.000 -.6553166 -.5463289 _Iarea_id_29 | -.2481239 .0169515 -14.64 0.000 -.2829056 -.2133423 _Iarea_id_30 | -1.95952 .0228162 -85.88 0.000 -2.006335 -1.912705 _Iarea_id_31 | .547062 .0263853 20.73 0.000 .4929239 .6012002 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | .2615496 .2768922 0.94 0.353 -.3065863 .8296856 _Iyear_1991 | 1.374093 .2933262 4.68 0.000 .7722368 1.975948 _Iyear_1992 | 1.904551 .2796345 6.81 0.000 1.330788 2.478314 _Iyear_1993 | 1.557732 .2908885 5.36 0.000 .9608783 2.154586 _Iyear_1994 | .931699 .2968479 3.14 0.004 .3226173 1.540781 _Iyear_1995 | .4486633 .2938098 1.53 0.138 -.1541847 1.051511 _Iyear_1996 | .1666745 .2853157 0.58 0.564 -.4187449 .752094 _Iyear_1997 | -.4903074 .2725939 -1.80 0.083 -1.049624 .069009 _Iyear_1998 | -1.064044 .2495112 -4.26 0.000 -1.575999 -.5520892 _Iyear_1999 | -1.480694 .2221018 -6.67 0.000 -1.936409 -1.024979 _Iyear_2000 | -1.344384 .1974438 -6.81 0.000 -1.749505 -.9392628 _Iyear_2001 | -.8803831 .1077405 -8.17 0.000 -1.101448 -.6593178 _Iyear_2002 | 0 (omitted) _Iyear_2003 | -.2919609 .092754 -3.15 0.004 -.4822764 -.1016455 _Iyear_2004 | -.76065 .1560801 -4.87 0.000 -1.0809 -.4404002 _Iyear_2005 | -.7909604 .1823225 -4.34 0.000 -1.165055 -.4168656 _Iyear_2006 | -.954948 .1968411 -4.85 0.000 -1.358833 -.5510634 _Iyear_2007 | -.7861731 .2227451 -3.53 0.002 -1.243208 -.3291379 _Iyear_2008 | .1816654 .2728011 0.67 0.511 -.3780763 .7414071 _Iyear_2009 | 2.890852 .2707364 10.68 0.000 2.335346 3.446357 _Iyear_2010 | 2.945148 .2434976 12.10 0.000 2.445532 3.444764 _Iyear_2011 | 2.830138 .2933008 9.65 0.000 2.228335 3.431942 _Iyear_2012 | 2.427029 .3051963 7.95 0.000 1.800818 3.05324 _Iyear_2013 | 2.189386 .3757089 5.83 0.000 1.418495 2.960277 _Iyear_2014 | 1.069367 .3388244 3.16 0.004 .3741563 1.764577 _Iyear_2015 | .04163 .2692833 0.15 0.878 -.5108937 .5941538 _Iyear_2016 | -.5355929 .2216662 -2.42 0.023 -.9904145 -.0807714 _Iyear_2017 | -1.117279 .2044205 -5.47 0.000 -1.536715 -.6978424 _Iyear_2018 | 0 (omitted) _cons | 6.583078 .4109266 16.02 0.000 5.739927 7.42623 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`firstoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\firststage_table.tex dir : seeout . . xi: regress `ygap_var' l(0/6).bartik_mp f(1/6).bartik_mp `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2002 omitted because of collinearity note: _Iyear_2016 omitted because of collinearity note: _Iyear_2017 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Linear regression Number of obs = 1413 F( 26, 27) = . Prob > F = . R-squared = 0.8359 Root MSE = .79114 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust ur | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- bartik_mp | --. | .3461463 .4294253 0.81 0.427 -.5349615 1.227254 L1. | 1.298866 .7276924 1.78 0.086 -.1942354 2.791968 L2. | 2.831995 .5511197 5.14 0.000 1.701191 3.962799 L3. | .9970032 .6046729 1.65 0.111 -.2436831 2.23769 L4. | 1.35994 .4571574 2.97 0.006 .4219305 2.29795 L5. | 2.434321 .7833051 3.11 0.004 .8271118 4.04153 L6. | 1.569302 .7872969 1.99 0.056 -.046098 3.184702 F1. | 2.657031 .4407172 6.03 0.000 1.752754 3.561308 F2. | -.9555917 .4461859 -2.14 0.041 -1.871089 -.0400939 F3. | -1.777987 .7728206 -2.30 0.029 -3.363684 -.1922904 F4. | -1.135341 .8969169 -1.27 0.216 -2.975662 .7049807 F5. | -1.718744 .965279 -1.78 0.086 -3.699333 .2618448 F6. | -2.264892 1.239243 -1.83 0.079 -4.807609 .2778252 | lpic | -.2111909 .0334792 -6.31 0.000 -.2798845 -.1424973 epi | -.0309661 .1598443 -0.19 0.848 -.3589395 .2970072 seas1 | -.575904 .0066459 -86.65 0.000 -.5895403 -.5622676 seas2 | -.4825497 .0247917 -19.46 0.000 -.533418 -.4316814 seas3 | -.3919633 .0239329 -16.38 0.000 -.4410695 -.3428572 seas4 | -.4046973 .0078535 -51.53 0.000 -.4208113 -.3885834 seas5 | -.1599384 .0202403 -7.90 0.000 -.2014681 -.1184086 seas6 | -.5233152 .0091635 -57.11 0.000 -.5421172 -.5045131 seas7 | -.2555957 .0085952 -29.74 0.000 -.2732316 -.2379598 seas8 | -.170011 .0118308 -14.37 0.000 -.1942857 -.1457363 seas9 | -.322995 .0162368 -19.89 0.000 -.3563103 -.2896798 seas10 | -.4786292 .0083302 -57.46 0.000 -.4957214 -.4615371 seas11 | -.17878 .0157928 -11.32 0.000 -.2111842 -.1463758 seas12 | -.3546521 .0161399 -21.97 0.000 -.3877685 -.3215358 seas13 | -.1703421 .0288339 -5.91 0.000 -.2295043 -.1111798 seas14 | -.0787533 .0076465 -10.30 0.000 -.0944426 -.0630639 seas15 | .5214849 .0500287 10.42 0.000 .4188344 .6241354 seas16 | .2620384 .0523151 5.01 0.000 .1546968 .3693801 seas17 | .2778778 .04544 6.12 0.000 .1846426 .3711129 seas18 | -.1464674 .0096231 -15.22 0.000 -.1662123 -.1267225 seas19 | -.0269062 .0181867 -1.48 0.151 -.0642222 .0104099 seas20 | .2496816 .0446288 5.59 0.000 .1581108 .3412524 seas21 | .5436897 .0836769 6.50 0.000 .3719989 .7153806 seas22 | -.2565899 .0216907 -11.83 0.000 -.3010955 -.2120844 seas23 | .2280865 .0307876 7.41 0.000 .1649154 .2912575 seas24 | .115722 .0247363 4.68 0.000 .0649673 .1664767 seas25 | -.1172715 .0131343 -8.93 0.000 -.144221 -.0903221 seas26 | .2453951 .034189 7.18 0.000 .1752451 .315545 seas27 | .0357788 .0090292 3.96 0.000 .0172524 .0543053 seas28 | -.6927234 .0124613 -55.59 0.000 -.7182919 -.667155 _Iarea_id_2 | -.3327449 .0416846 -7.98 0.000 -.4182746 -.2472152 _Iarea_id_3 | -.6192802 .0391669 -15.81 0.000 -.699644 -.5389163 _Iarea_id_4 | -.3734096 .0275013 -13.58 0.000 -.4298377 -.3169815 _Iarea_id_5 | -.7098586 .0278258 -25.51 0.000 -.7669524 -.6527648 _Iarea_id_8 | .4443263 .0232301 19.13 0.000 .3966621 .4919904 _Iarea_id_9 | -.7884081 .0239562 -32.91 0.000 -.8375621 -.7392541 _Iarea_id_10 | .5478174 .0099198 55.22 0.000 .5274637 .5681711 _Iarea_id_11 | -.0378904 .007849 -4.83 0.000 -.0539951 -.0217856 _Iarea_id_12 | .727941 .0232069 31.37 0.000 .6803244 .7755576 _Iarea_id_13 | 1.341838 .0378482 35.45 0.000 1.26418 1.419496 _Iarea_id_14 | -1.732682 .0223774 -77.43 0.000 -1.778596 -1.686767 _Iarea_id_15 | -.2535135 .0367001 -6.91 0.000 -.3288158 -.1782112 _Iarea_id_16 | -1.770306 .0297231 -59.56 0.000 -1.831293 -1.709319 _Iarea_id_17 | .1558628 .0288228 5.41 0.000 .0967233 .2150024 _Iarea_id_18 | -.7084242 .0505104 -14.03 0.000 -.812063 -.6047854 _Iarea_id_19 | -.246879 .0597675 -4.13 0.000 -.3695118 -.1242462 _Iarea_id_20 | -.452527 .0189319 -23.90 0.000 -.491372 -.413682 _Iarea_id_21 | -.8003028 .0349458 -22.90 0.000 -.8720056 -.7286 _Iarea_id_22 | -.427971 .0312259 -13.71 0.000 -.4920413 -.3639006 _Iarea_id_23 | -1.071134 .0950012 -11.27 0.000 -1.266061 -.8762079 _Iarea_id_24 | -.9185425 .0112495 -81.65 0.000 -.9416246 -.8954604 _Iarea_id_25 | .9505012 .0317903 29.90 0.000 .8852729 1.015729 _Iarea_id_26 | -.5311058 .0160623 -33.07 0.000 -.5640629 -.4981486 _Iarea_id_28 | -.5184617 .0452921 -11.45 0.000 -.6113934 -.42553 _Iarea_id_29 | -.1792329 .0257477 -6.96 0.000 -.2320627 -.126403 _Iarea_id_30 | -1.935944 .0359496 -53.85 0.000 -2.009707 -1.862182 _Iarea_id_31 | .5043206 .0380461 13.26 0.000 .4262564 .5823848 _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | -.4223739 .338397 -1.25 0.223 -1.116707 .2719593 _Iyear_1991 | .9951784 .4045357 2.46 0.021 .1651396 1.825217 _Iyear_1992 | 1.338427 .4476473 2.99 0.006 .4199311 2.256924 _Iyear_1993 | 1.007036 .4380634 2.30 0.029 .1082045 1.905868 _Iyear_1994 | .6013045 .3798203 1.58 0.125 -.1780224 1.380631 _Iyear_1995 | .0933945 .3641086 0.26 0.800 -.6536946 .8404836 _Iyear_1996 | .0028158 .3327168 0.01 0.993 -.6798627 .6854943 _Iyear_1997 | -.5757114 .3287884 -1.75 0.091 -1.25033 .0989067 _Iyear_1998 | -.9327049 .2904387 -3.21 0.003 -1.528636 -.3367739 _Iyear_1999 | -1.246167 .2887249 -4.32 0.000 -1.838582 -.6537525 _Iyear_2000 | -1.083762 .2872231 -3.77 0.001 -1.673095 -.4944285 _Iyear_2001 | -.5514139 .1781592 -3.10 0.005 -.9169664 -.1858614 _Iyear_2002 | 0 (omitted) _Iyear_2003 | -.2834633 .1000483 -2.83 0.009 -.4887454 -.0781811 _Iyear_2004 | -.9225412 .1713253 -5.38 0.000 -1.274072 -.5710106 _Iyear_2005 | -.8731 .2423703 -3.60 0.001 -1.370403 -.3757972 _Iyear_2006 | -.7233988 .2967142 -2.44 0.022 -1.332206 -.1145915 _Iyear_2007 | -.7381228 .2575734 -2.87 0.008 -1.26662 -.2096259 _Iyear_2008 | -.2584421 .3035079 -0.85 0.402 -.8811889 .3643047 _Iyear_2009 | 2.558426 .3099054 8.26 0.000 1.922553 3.1943 _Iyear_2010 | 2.398646 .4184486 5.73 0.000 1.54006 3.257231 _Iyear_2011 | 2.038636 .4985786 4.09 0.000 1.015637 3.061635 _Iyear_2012 | 1.947936 .4564111 4.27 0.000 1.011458 2.884415 _Iyear_2013 | 1.828853 .4363719 4.19 0.000 .9334922 2.724214 _Iyear_2014 | .9155668 .3962283 2.31 0.029 .1025734 1.72856 _Iyear_2015 | -.0490121 .3139849 -0.16 0.877 -.693256 .5952318 _Iyear_2016 | 0 (omitted) _Iyear_2017 | 0 (omitted) _Iyear_2018 | 0 (omitted) _cons | 6.37061 .4759754 13.38 0.000 5.393989 7.347231 ------------------------------------------------------------------------------ . lincom f6.bartik_mp+f5.bartik_mp+f4.bartik_mp /// > +f3.bartik_mp+f2.bartik_mp+f1.bartik_mp+bartik_mp /// > +l5.bartik_mp+l6.bartik_mp /// > +l.bartik_mp+l2.bartik_mp+l3.bartik_mp+l4.bartik_mp ( 1) bartik_mp + L.bartik_mp + L2.bartik_mp + L3.bartik_mp + L4.bartik_mp + L5.bartik_mp + L6.bartik_mp + F.bartik_mp + F2.bartik_mp + F3.bartik_mp + F4.bartik_mp + F5.bartik_mp + F6.bartik_mp = 0 ------------------------------------------------------------------------------ ur | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | 5.642049 4.445531 1.27 0.215 -3.479428 14.76353 ------------------------------------------------------------------------------ . local se=r(se) . . outreg2 using "`path_folder'`fig_folder'`firstoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'" "Sum", r(estimate), "SE", `se') C:\Users\320491\Desktop\Final NBER\Figures\firststage_table.tex dir : seeout . . xi: regress `ygap_var' i.area_id*d3yrdef `controls' /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) i.area_id _Iarea_id_1-31 (naturally coded; _Iarea_id_1 omitted) i.area~d*d3yr~f _IareXd3yr_# (coded as above) i.year _Iyear_1984-2018 (naturally coded; _Iyear_1984 omitted) note: _Iarea_id_19 omitted because of collinearity note: _Iarea_id_2 omitted because of collinearity note: _Iarea_id_3 omitted because of collinearity note: _Iarea_id_4 omitted because of collinearity note: _Iarea_id_5 omitted because of collinearity note: _Iarea_id_8 omitted because of collinearity note: _Iarea_id_9 omitted because of collinearity note: _Iarea_id_10 omitted because of collinearity note: _Iarea_id_11 omitted because of collinearity note: _Iarea_id_12 omitted because of collinearity note: _Iarea_id_13 omitted because of collinearity note: _Iarea_id_14 omitted because of collinearity note: _Iarea_id_15 omitted because of collinearity note: _Iarea_id_16 omitted because of collinearity note: _Iarea_id_17 omitted because of collinearity note: _Iarea_id_18 omitted because of collinearity note: _Iarea_id_20 omitted because of collinearity note: _Iarea_id_21 omitted because of collinearity note: _Iarea_id_22 omitted because of collinearity note: _Iarea_id_23 omitted because of collinearity note: _Iarea_id_24 omitted because of collinearity note: _Iarea_id_25 omitted because of collinearity note: _Iarea_id_26 omitted because of collinearity note: _Iarea_id_28 omitted because of collinearity note: _Iarea_id_29 omitted because of collinearity note: _Iarea_id_30 omitted because of collinearity note: _Iarea_id_31 omitted because of collinearity note: _Iyear_1985 omitted because of collinearity note: _Iyear_1986 omitted because of collinearity note: _Iyear_1987 omitted because of collinearity note: _Iyear_1988 omitted because of collinearity note: _Iyear_1989 omitted because of collinearity note: _Iyear_2003 omitted because of collinearity note: _Iyear_2018 omitted because of collinearity Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.8494 Root MSE = .7517 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------- | Robust ur | Coef. Std. Err. t P>|t| [95% Conf. Interval] --------------+---------------------------------------------------------------- _Iarea_id_2 | -.2570378 .0322457 -7.97 0.000 -.3232005 -.1908752 _Iarea_id_3 | -.6352183 .0268954 -23.62 0.000 -.6904032 -.5800334 _Iarea_id_4 | -.413727 .0143141 -28.90 0.000 -.4430971 -.3843569 _Iarea_id_5 | -.7698578 .032026 -24.04 0.000 -.8355697 -.7041458 _Iarea_id_8 | .3307833 .0171531 19.28 0.000 .295588 .3659785 _Iarea_id_9 | -.8497309 .0017383 -488.84 0.000 -.8532975 -.8461643 _Iarea_id_10 | .4176481 .0016967 246.15 0.000 .4141667 .4211295 _Iarea_id_11 | -.1083417 .0037592 -28.82 0.000 -.1160549 -.1006285 _Iarea_id_12 | .6757598 .0207433 32.58 0.000 .633198 .7183216 _Iarea_id_13 | 1.2098 .0222016 54.49 0.000 1.164246 1.255354 _Iarea_id_14 | -1.745386 .0182508 -95.63 0.000 -1.782834 -1.707939 _Iarea_id_15 | -.2915307 .0331211 -8.80 0.000 -.3594896 -.2235718 _Iarea_id_16 | -1.813752 .0182664 -99.29 0.000 -1.851232 -1.776273 _Iarea_id_17 | .0854437 .0262777 3.25 0.003 .0315264 .139361 _Iarea_id_18 | -.6582005 .0517769 -12.71 0.000 -.7644378 -.5519631 _Iarea_id_19 | 0 (omitted) _Iarea_id_20 | -.4745229 .0199839 -23.75 0.000 -.5155266 -.4335193 _Iarea_id_21 | -.8300852 .0284386 -29.19 0.000 -.8884364 -.7717339 _Iarea_id_22 | -.4071397 .0341536 -11.92 0.000 -.4772171 -.3370624 _Iarea_id_23 | -.851966 .0667012 -12.77 0.000 -.9888256 -.7151063 _Iarea_id_24 | -1.065552 .0113074 -94.24 0.000 -1.088753 -1.042351 _Iarea_id_25 | .8790115 .0255952 34.34 0.000 .8264945 .9315284 _Iarea_id_26 | -.6493514 .0117727 -55.16 0.000 -.6735071 -.6251958 _Iarea_id_28 | -.5207029 .0138743 -37.53 0.000 -.5491707 -.4922351 _Iarea_id_29 | -.1934423 .013033 -14.84 0.000 -.2201839 -.1667007 _Iarea_id_30 | -2.044019 .0112806 -181.20 0.000 -2.067165 -2.020873 _Iarea_id_31 | .463644 .0174365 26.59 0.000 .4278673 .4994207 d3yrdef | -.001084 .0238189 -0.05 0.964 -.0499563 .0477884 _IareXd3yr_2 | .1366575 .0008037 170.05 0.000 .1350086 .1383065 _IareXd3yr_3 | .1990632 .0008472 234.97 0.000 .1973249 .2008014 _IareXd3yr_4 | .1799596 .001188 151.48 0.000 .1775219 .1823972 _IareXd3yr_5 | .2056818 .0009025 227.90 0.000 .20383 .2075335 _IareXd3yr_8 | .2730351 .0059475 45.91 0.000 .2608319 .2852383 _IareXd3yr_9 | .1027267 .0025452 40.36 0.000 .0975044 .107949 _IareXd3yr_10 | -.0181295 .003934 -4.61 0.000 -.0262013 -.0100576 _IareXd3yr_11 | .0201898 .0033252 6.07 0.000 .0133671 .0270125 _IareXd3yr_12 | .1237433 .0008051 153.69 0.000 .1220914 .1253953 _IareXd3yr_13 | .3745542 .0030556 122.58 0.000 .3682846 .3808237 _IareXd3yr_14 | .1939671 .0012008 161.53 0.000 .1915032 .196431 _IareXd3yr_15 | .2059641 .0032516 63.34 0.000 .1992924 .2126357 _IareXd3yr_16 | -.0083976 .0055642 -1.51 0.143 -.0198144 .0030192 _IareXd3yr_17 | -.0208684 .0025354 -8.23 0.000 -.0260707 -.0156661 _IareXd3yr_18 | .1166449 .0073607 15.85 0.000 .101542 .1317478 _IareXd3yr_19 | .1737698 .0089443 19.43 0.000 .1554176 .1921219 _IareXd3yr_20 | -.0467771 .0045307 -10.32 0.000 -.0560734 -.0374809 _IareXd3yr_21 | .1619261 .0027246 59.43 0.000 .1563357 .1675165 _IareXd3yr_22 | .0678157 .0021594 31.40 0.000 .0633849 .0722464 _IareXd3yr_23 | .0623917 .0136065 4.59 0.000 .0344734 .09031 _IareXd3yr_24 | .1936972 .0101206 19.14 0.000 .1729314 .2144629 _IareXd3yr_25 | .0377577 .006541 5.77 0.000 .0243367 .0511786 _IareXd3yr_26 | .1673372 .0046223 36.20 0.000 .157853 .1768214 _IareXd3yr_28 | .1471564 .0044503 33.07 0.000 .1380251 .1562877 _IareXd3yr_29 | .0673862 .0068337 9.86 0.000 .0533647 .0814078 _IareXd3yr_30 | -.0266466 .0056707 -4.70 0.000 -.038282 -.0150112 _IareXd3yr_31 | .0253695 .0045183 5.61 0.000 .0160987 .0346404 lpic | -.1697402 .0391457 -4.34 0.000 -.2500605 -.0894199 epi | -.1681193 .1514549 -1.11 0.277 -.4788791 .1426404 seas1 | -.5804834 .0014232 -407.89 0.000 -.5834035 -.5775633 seas2 | -.4918307 .0200302 -24.55 0.000 -.5329293 -.450732 seas3 | -.4025341 .0230268 -17.48 0.000 -.4497813 -.355287 seas4 | -.3798519 .0106333 -35.72 0.000 -.4016697 -.3580342 seas5 | -.1663934 .0193521 -8.60 0.000 -.2061006 -.1266862 seas6 | -.4820914 .0078196 -61.65 0.000 -.4981359 -.4660469 seas7 | -.2655708 .0028546 -93.03 0.000 -.271428 -.2597137 seas8 | -.1775626 .0097997 -18.12 0.000 -.1976699 -.1574552 seas9 | -.2939922 .0205664 -14.29 0.000 -.336191 -.2517934 seas10 | -.4548599 .0066193 -68.72 0.000 -.4684416 -.4412783 seas11 | -.1380925 .0089177 -15.49 0.000 -.1563902 -.1197948 seas12 | -.3609175 .0131026 -27.55 0.000 -.3878019 -.3340332 seas13 | -.1914234 .0266952 -7.17 0.000 -.2461975 -.1366493 seas14 | -.0752075 .0092249 -8.15 0.000 -.0941355 -.0562795 seas15 | .4342295 .0537658 8.08 0.000 .3239113 .5445478 seas16 | .1809651 .0538862 3.36 0.002 .0703997 .2915304 seas17 | .248766 .0405589 6.13 0.000 .165546 .331986 seas18 | -.1490202 .0082165 -18.14 0.000 -.165879 -.1321615 seas19 | -.0226384 .0160148 -1.41 0.169 -.055498 .0102213 seas20 | .1939745 .0453629 4.28 0.000 .1008975 .2870514 seas21 | .374966 .0679146 5.52 0.000 .2356168 .5143153 seas22 | -.261449 .0231546 -11.29 0.000 -.3089583 -.2139398 seas23 | .1965966 .0310471 6.33 0.000 .1328932 .2602999 seas24 | .0759432 .0238773 3.18 0.004 .0269511 .1249354 seas25 | -.1165681 .0026005 -44.83 0.000 -.1219039 -.1112323 seas26 | .1751176 .0296937 5.90 0.000 .1141911 .236044 seas27 | -.004778 .008893 -0.54 0.595 -.0230249 .0134688 seas28 | -.7007189 .012744 -54.98 0.000 -.7268673 -.6745704 _Iarea_id_2 | 0 (omitted) _Iarea_id_3 | 0 (omitted) _Iarea_id_4 | 0 (omitted) _Iarea_id_5 | 0 (omitted) _Iarea_id_8 | 0 (omitted) _Iarea_id_9 | 0 (omitted) _Iarea_id_10 | 0 (omitted) _Iarea_id_11 | 0 (omitted) _Iarea_id_12 | 0 (omitted) _Iarea_id_13 | 0 (omitted) _Iarea_id_14 | 0 (omitted) _Iarea_id_15 | 0 (omitted) _Iarea_id_16 | 0 (omitted) _Iarea_id_17 | 0 (omitted) _Iarea_id_18 | 0 (omitted) _Iarea_id_19 | -.4281801 .0448259 -9.55 0.000 -.5201552 -.336205 _Iarea_id_20 | 0 (omitted) _Iarea_id_21 | 0 (omitted) _Iarea_id_22 | 0 (omitted) _Iarea_id_23 | 0 (omitted) _Iarea_id_24 | 0 (omitted) _Iarea_id_25 | 0 (omitted) _Iarea_id_26 | 0 (omitted) _Iarea_id_28 | 0 (omitted) _Iarea_id_29 | 0 (omitted) _Iarea_id_30 | 0 (omitted) _Iarea_id_31 | 0 (omitted) _Iyear_1985 | 0 (omitted) _Iyear_1986 | 0 (omitted) _Iyear_1987 | 0 (omitted) _Iyear_1988 | 0 (omitted) _Iyear_1989 | 0 (omitted) _Iyear_1990 | .3432982 .3125852 1.10 0.282 -.2980736 .9846701 _Iyear_1991 | 1.506962 .314829 4.79 0.000 .8609863 2.152938 _Iyear_1992 | 2.072284 .2752429 7.53 0.000 1.507532 2.637036 _Iyear_1993 | 1.653778 .3174735 5.21 0.000 1.002376 2.305179 _Iyear_1994 | 1.058227 .3555285 2.98 0.006 .328743 1.787711 _Iyear_1995 | .497886 .3308531 1.50 0.144 -.1809684 1.17674 _Iyear_1996 | .2044627 .322654 0.63 0.532 -.4575686 .866494 _Iyear_1997 | -.3970789 .2843869 -1.40 0.174 -.9805927 .1864348 _Iyear_1998 | -.9571445 .2479418 -3.86 0.001 -1.465879 -.44841 _Iyear_1999 | -1.323938 .2182501 -6.07 0.000 -1.77175 -.8761261 _Iyear_2000 | -1.202501 .2532869 -4.75 0.000 -1.722203 -.6827994 _Iyear_2001 | -.6719561 .1690338 -3.98 0.000 -1.018785 -.3251273 _Iyear_2002 | .2925107 .1092776 2.68 0.012 .0682917 .5167297 _Iyear_2003 | 0 (omitted) _Iyear_2004 | -.5197477 .1138952 -4.56 0.000 -.7534413 -.286054 _Iyear_2005 | -.6546455 .163783 -4.00 0.000 -.9907004 -.3185907 _Iyear_2006 | -.8042613 .1792387 -4.49 0.000 -1.172029 -.436494 _Iyear_2007 | -.6748807 .2309528 -2.92 0.007 -1.148757 -.2010047 _Iyear_2008 | .3512709 .3369562 1.04 0.306 -.3401062 1.042648 _Iyear_2009 | 3.120157 .3072916 10.15 0.000 2.489647 3.750667 _Iyear_2010 | 3.287529 .2830918 11.61 0.000 2.706673 3.868385 _Iyear_2011 | 3.019381 .3584518 8.42 0.000 2.283899 3.754863 _Iyear_2012 | 2.525474 .3324459 7.60 0.000 1.843352 3.207597 _Iyear_2013 | 2.210991 .3205664 6.90 0.000 1.553243 2.868739 _Iyear_2014 | 1.187071 .3073055 3.86 0.001 .5565321 1.81761 _Iyear_2015 | .1925688 .2556699 0.75 0.458 -.3320225 .7171601 _Iyear_2016 | -.3563512 .2105342 -1.69 0.102 -.7883317 .0756293 _Iyear_2017 | -.9268236 .1995115 -4.65 0.000 -1.336187 -.5174598 _Iyear_2018 | 0 (omitted) _cons | 6.437491 .3613946 17.81 0.000 5.69597 7.179011 ------------------------------------------------------------------------------- . . outreg2 using "`path_folder'`fig_folder'`firstoutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Instrument", "3 year Bartik", /// > "1st stage F-stat", "`fstat'") C:\Users\320491\Desktop\Final NBER\Figures\firststage_table.tex dir : seeout . . ******************************************************************************* . *********************************** CPI ************************************ . ******************************************************************************* . local cpioutput "\cpi_table.tex" . local controls lpih lpic lpis lpisxr epi . local tab3_options /// > keep(`ygap_var' `controls') nocons tex label /// > groupvar(`ygap_var' `inf_var' `controls') bracket bdec(3) . . regress pih `ygap_var' lpih epi /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.5466 Root MSE = 1.1595 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pih | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3939364 .0664086 -5.93 0.000 -.5301956 -.2576772 lpih | -.2138311 .0404093 -5.29 0.000 -.2967442 -.1309181 epi | 1.948153 .1417648 13.74 0.000 1.657275 2.23903 seas1 | -.3043816 .0382593 -7.96 0.000 -.3828832 -.2258799 seas2 | -.2500696 .0385415 -6.49 0.000 -.3291502 -.1709889 seas3 | -.7397033 .045098 -16.40 0.000 -.8322367 -.6471698 seas4 | .5198823 .042557 12.22 0.000 .4325625 .6072021 seas5 | -.2334103 .0179504 -13.00 0.000 -.2702414 -.1965792 seas6 | -.0002452 .0304169 -0.01 0.994 -.0626556 .0621651 seas7 | -.3025558 .019766 -15.31 0.000 -.3431124 -.2619993 seas8 | -.2617139 .0151724 -17.25 0.000 -.2928451 -.2305827 seas9 | .4097026 .0318927 12.85 0.000 .3442641 .4751411 seas10 | -.5893192 .0361506 -16.30 0.000 -.6634941 -.5151443 seas11 | -.0964839 .0134825 -7.16 0.000 -.1241478 -.06882 seas12 | -.2077562 .0283023 -7.34 0.000 -.2658277 -.1496848 seas13 | .039729 .0249354 1.59 0.123 -.0114342 .0908921 seas14 | .1059497 .0192352 5.51 0.000 .0664824 .1454171 seas15 | -.9165962 .0432401 -21.20 0.000 -1.005318 -.8278748 seas16 | -.5608878 .0264969 -21.17 0.000 -.615255 -.5065207 seas17 | -.6366722 .0358806 -17.74 0.000 -.710293 -.5630513 seas18 | .4996636 .0387103 12.91 0.000 .4202367 .5790906 seas19 | .4466797 .0280844 15.90 0.000 .3890553 .5043042 seas20 | -.1996778 .0060385 -33.07 0.000 -.2120679 -.1872878 seas21 | -.4335505 .0307262 -14.11 0.000 -.4965956 -.3705055 seas22 | -.3432966 .0300288 -11.43 0.000 -.4049105 -.2816826 seas23 | -.7775737 .0391315 -19.87 0.000 -.857865 -.6972824 seas24 | -.3275293 .016889 -19.39 0.000 -.3621827 -.2928759 seas25 | -.0484823 .0085296 -5.68 0.000 -.0659835 -.0309811 seas26 | -.7360329 .0344886 -21.34 0.000 -.8067976 -.6652682 seas27 | -.1687399 .003247 -51.97 0.000 -.1754021 -.1620777 seas28 | -.4965092 .0518377 -9.58 0.000 -.6028714 -.390147 | area_id | 2 | -.8470886 .0211777 -40.00 0.000 -.8905418 -.8036355 3 | -.4908909 .0405188 -12.12 0.000 -.5740285 -.4077532 4 | -1.090164 .0291473 -37.40 0.000 -1.149969 -1.030359 5 | -.8534874 .043863 -19.46 0.000 -.9434869 -.7634879 8 | .024509 .0224594 1.09 0.285 -.0215739 .0705918 9 | -.3609705 .0542182 -6.66 0.000 -.472217 -.249724 10 | .1533966 .0285765 5.37 0.000 .0947625 .2120306 11 | -.6573686 .0108112 -60.80 0.000 -.6795514 -.6351857 12 | -.2100479 .0584783 -3.59 0.001 -.3300355 -.0900604 13 | -.187034 .0926546 -2.02 0.054 -.3771455 .0030775 14 | -1.136708 .1113018 -10.21 0.000 -1.36508 -.9083354 15 | -.8978788 .0170357 -52.71 0.000 -.9328333 -.8629244 16 | -1.251415 .1219531 -10.26 0.000 -1.501642 -1.001188 17 | .3340001 .0288049 11.60 0.000 .2748973 .3931029 18 | -.6910607 .0425887 -16.23 0.000 -.7784455 -.6036758 19 | .0271943 .0418856 0.65 0.522 -.0587479 .1131366 20 | -.9360758 .0384184 -24.37 0.000 -1.014904 -.8572477 21 | -1.212985 .0507331 -23.91 0.000 -1.317081 -1.108889 22 | -.6114541 .0269377 -22.70 0.000 -.6667258 -.5561824 23 | -.6532012 .0752569 -8.68 0.000 -.8076157 -.4987866 24 | -.2190444 .0709546 -3.09 0.005 -.3646313 -.0734575 25 | .4384214 .0743075 5.90 0.000 .2859549 .5908878 26 | -.0527735 .0421954 -1.25 0.222 -.1393512 .0338042 28 | -.0950935 .0406522 -2.34 0.027 -.1785049 -.0116821 29 | .3113358 .0181733 17.13 0.000 .2740472 .3486244 30 | -.8565916 .1376377 -6.22 0.000 -1.139001 -.5741823 31 | -.1288666 .0395885 -3.26 0.003 -.2100955 -.0476376 | year | 1991 | -.5263959 .2239526 -2.35 0.026 -.9859086 -.0668832 1992 | .1019934 .3011457 0.34 0.737 -.5159065 .7198932 1993 | -.7147994 .2871402 -2.49 0.019 -1.303962 -.1256364 1994 | -1.049647 .2818586 -3.72 0.001 -1.627973 -.4713212 1995 | -1.478468 .298138 -4.96 0.000 -2.090197 -.8667394 1996 | -1.038505 .3114988 -3.33 0.002 -1.677647 -.399362 1997 | -2.011993 .332536 -6.05 0.000 -2.694301 -1.329686 1998 | -1.866239 .3822449 -4.88 0.000 -2.650541 -1.081937 1999 | -1.485678 .3797551 -3.91 0.001 -2.264871 -.7064847 2000 | -.8015763 .3703727 -2.16 0.039 -1.561518 -.0416342 2001 | -.6782457 .4024873 -1.69 0.103 -1.504081 .14759 2002 | -.905833 .3776621 -2.40 0.024 -1.680732 -.1309344 2003 | -.6578232 .2701671 -2.43 0.022 -1.21216 -.1034861 2004 | -1.16782 .2658753 -4.39 0.000 -1.713351 -.6222894 2005 | -.9715215 .2110186 -4.60 0.000 -1.404496 -.5385471 2006 | -1.887242 .2532919 -7.45 0.000 -2.406954 -1.36753 2007 | -1.588793 .2699216 -5.89 0.000 -2.142627 -1.03496 2008 | -2.495434 .2477338 -10.07 0.000 -3.003742 -1.987126 2009 | -2.213833 .4881204 -4.54 0.000 -3.215373 -1.212293 2010 | -.7545149 .4874003 -1.55 0.133 -1.754578 .245548 2011 | -.4646526 .3491029 -1.33 0.194 -1.180953 .2516475 2012 | -1.717686 .3441169 -4.99 0.000 -2.423755 -1.011616 2013 | -2.157028 .3309825 -6.52 0.000 -2.836148 -1.477908 2014 | -2.510666 .3059055 -8.21 0.000 -3.138332 -1.883 2015 | -3.535464 .3973267 -8.90 0.000 -4.350711 -2.720217 2016 | -1.979168 .3576436 -5.53 0.000 -2.712992 -1.245344 2017 | -1.383584 .3763995 -3.68 0.001 -2.155892 -.6112758 | _cons | 1.265626 .706732 1.79 0.085 -.1844688 2.71572 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`cpioutput'", /// > replace `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Sample", "1990-2017") C:\Users\320491\Desktop\Final NBER\Figures\cpi_table.tex dir : seeout . . foreach var of varlist pic pis pisxr { 2. regress `var' `ygap_var' l`var' epi /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) 3. . outreg2 using "`path_folder'`fig_folder'`cpioutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Sample", "1990-2017") 4. } Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.4871 Root MSE = 1.0683 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pic | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.3793637 .0518973 -7.31 0.000 -.4858482 -.2728792 lpic | .105313 .0339405 3.10 0.004 .0356729 .1749531 epi | .2247839 .1414511 1.59 0.124 -.0654497 .5150175 seas1 | -.3359218 .0302937 -11.09 0.000 -.3980794 -.2737641 seas2 | -.857919 .0335624 -25.56 0.000 -.9267834 -.7890546 seas3 | -.8941184 .0318281 -28.09 0.000 -.9594242 -.8288126 seas4 | .0651142 .0201898 3.23 0.003 .0236882 .1065402 seas5 | -.7332271 .0206104 -35.58 0.000 -.7755162 -.6909379 seas6 | -.0123268 .0259198 -0.48 0.638 -.0655099 .0408563 seas7 | -.0886422 .0141543 -6.26 0.000 -.1176845 -.0595999 seas8 | -.5024068 .0134293 -37.41 0.000 -.5299615 -.4748521 seas9 | .4119534 .0220395 18.69 0.000 .3667322 .4571747 seas10 | -.4957849 .0250405 -19.80 0.000 -.5471638 -.444406 seas11 | -.3930547 .012012 -32.72 0.000 -.4177014 -.368408 seas12 | -.6565348 .0238132 -27.57 0.000 -.7053955 -.6076741 seas13 | -1.004533 .0271634 -36.98 0.000 -1.060268 -.9487984 seas14 | -.4319071 .0090603 -47.67 0.000 -.4504973 -.4133169 seas15 | -1.520255 .048902 -31.09 0.000 -1.620594 -1.419916 seas16 | -1.547247 .0472378 -32.75 0.000 -1.644171 -1.450323 seas17 | -1.1322 .0388937 -29.11 0.000 -1.212003 -1.052396 seas18 | -.3567913 .010679 -33.41 0.000 -.3787028 -.3348799 seas19 | -.4542545 .0145681 -31.18 0.000 -.4841457 -.4243633 seas20 | -1.331032 .0396275 -33.59 0.000 -1.412341 -1.249723 seas21 | -1.668249 .0595684 -28.01 0.000 -1.790474 -1.546025 seas22 | -.7503297 .027029 -27.76 0.000 -.8057887 -.6948707 seas23 | -.9102521 .0264567 -34.41 0.000 -.9645368 -.8559674 seas24 | -.7000006 .0202672 -34.54 0.000 -.7415855 -.6584157 seas25 | -.140465 .007385 -19.02 0.000 -.1556177 -.1253123 seas26 | -.9412593 .0251259 -37.46 0.000 -.9928134 -.8897051 seas27 | -.4318373 .0072415 -59.63 0.000 -.4466956 -.416979 seas28 | -.709804 .0401046 -17.70 0.000 -.7920919 -.6275162 | area_id | 2 | -.2230104 .0271135 -8.23 0.000 -.2786427 -.1673781 3 | -.1604877 .0340228 -4.72 0.000 -.2302966 -.0906787 4 | -.5563907 .0211294 -26.33 0.000 -.5997446 -.5130368 5 | -.4270753 .0414233 -10.31 0.000 -.5120689 -.3420817 8 | .2110312 .0242099 8.72 0.000 .1613566 .2607058 9 | -.4070224 .0431248 -9.44 0.000 -.4955072 -.3185377 10 | .3815969 .021747 17.55 0.000 .3369757 .4262182 11 | -.4730458 .0071724 -65.95 0.000 -.4877623 -.4583293 12 | .0452851 .0437044 1.04 0.309 -.044389 .1349591 13 | .2863894 .0726172 3.94 0.001 .1373913 .4353875 14 | -.6200713 .0866248 -7.16 0.000 -.7978107 -.4423319 15 | -.074647 .0277711 -2.69 0.012 -.1316285 -.0176655 16 | -.6475343 .0922145 -7.02 0.000 -.8367428 -.4583258 17 | .9615073 .0232966 41.27 0.000 .9137066 1.009308 18 | .0678957 .0492694 1.38 0.180 -.0331968 .1689881 19 | .5430723 .0326778 16.62 0.000 .4760229 .6101216 20 | -.2488059 .0266813 -9.33 0.000 -.3035515 -.1940604 21 | -.4160431 .0427755 -9.73 0.000 -.5038112 -.328275 22 | .3608155 .0309267 11.67 0.000 .297359 .4242719 23 | .2731544 .0700741 3.90 0.001 .1293742 .4169346 24 | .2182416 .0535259 4.08 0.000 .1084156 .3280676 25 | .6392644 .0547875 11.67 0.000 .5268497 .751679 26 | .2736494 .0319271 8.57 0.000 .2081403 .3391585 28 | .007721 .0288035 0.27 0.791 -.051379 .066821 29 | .5440733 .0125726 43.27 0.000 .5182765 .5698702 30 | -.6001869 .1051128 -5.71 0.000 -.8158605 -.3845133 31 | .2101772 .0309665 6.79 0.000 .1466392 .2737151 | year | 1991 | -.1608141 .2377032 -0.68 0.504 -.6485407 .3269126 1992 | -.7463096 .2895393 -2.58 0.016 -1.340395 -.1522241 1993 | -1.144708 .2909497 -3.93 0.001 -1.741687 -.5477281 1994 | -1.618626 .3101507 -5.22 0.000 -2.255003 -.9822492 1995 | -1.903488 .3195638 -5.96 0.000 -2.559178 -1.247797 1996 | -2.224632 .3061523 -7.27 0.000 -2.852805 -1.59646 1997 | -2.641424 .3555045 -7.43 0.000 -3.370859 -1.911989 1998 | -2.52296 .374723 -6.73 0.000 -3.291828 -1.754092 1999 | -2.833267 .3913759 -7.24 0.000 -3.636304 -2.03023 2000 | -2.392793 .339597 -7.05 0.000 -3.089588 -1.695997 2001 | -1.979163 .387794 -5.10 0.000 -2.77485 -1.183475 2002 | -1.996183 .3351129 -5.96 0.000 -2.683778 -1.308589 2003 | -2.87163 .294163 -9.76 0.000 -3.475202 -2.268057 2004 | -2.686835 .3180814 -8.45 0.000 -3.339484 -2.034186 2005 | -2.588352 .2240894 -11.55 0.000 -3.048145 -2.128559 2006 | -2.075614 .3465899 -5.99 0.000 -2.786758 -1.36447 2007 | -2.705656 .2796501 -9.68 0.000 -3.27945 -2.131861 2008 | -2.41042 .279821 -8.61 0.000 -2.984565 -1.836275 2009 | -1.429842 .3672134 -3.89 0.001 -2.183302 -.6763825 2010 | -1.997364 .4083383 -4.89 0.000 -2.835205 -1.159523 2011 | -1.3836 .2942849 -4.70 0.000 -1.987423 -.7797773 2012 | -1.565359 .3045282 -5.14 0.000 -2.190199 -.9405187 2013 | -1.993676 .3131923 -6.37 0.000 -2.636294 -1.351059 2014 | -2.529922 .3260496 -7.76 0.000 -3.198921 -1.860924 2015 | -2.500462 .3552196 -7.04 0.000 -3.229312 -1.771612 2016 | -2.356891 .3707164 -6.36 0.000 -3.117538 -1.596244 2017 | -3.009074 .4207541 -7.15 0.000 -3.87239 -2.145758 | _cons | 5.931755 .7693497 7.71 0.000 4.353179 7.51033 ------------------------------------------------------------------------------ C:\Users\320491\Desktop\Final NBER\Figures\cpi_table.tex dir : seeout Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.4814 Root MSE = 1.2572 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pis | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.4454253 .0630315 -7.07 0.000 -.5747553 -.3160953 lpis | .1563983 .0412151 3.79 0.001 .0718319 .2409646 epi | .8281972 .1886217 4.39 0.000 .4411775 1.215217 seas1 | -.3908338 .036015 -10.85 0.000 -.4647305 -.3169372 seas2 | .0769724 .041475 1.86 0.074 -.0081273 .1620722 seas3 | -1.570576 .0549628 -28.58 0.000 -1.68335 -1.457801 seas4 | 1.497435 .067701 22.12 0.000 1.358525 1.636346 seas5 | .069727 .0194816 3.58 0.001 .0297541 .1097 seas6 | .3533335 .0360517 9.80 0.000 .2793615 .4273055 seas7 | -.4266129 .0184171 -23.16 0.000 -.4644016 -.3888242 seas8 | -.3003355 .0133124 -22.56 0.000 -.3276503 -.2730208 seas9 | 1.097074 .0524753 20.91 0.000 .9894032 1.204744 seas10 | -.359896 .0317411 -11.34 0.000 -.4250233 -.2947687 seas11 | .2636807 .023112 11.41 0.000 .2162588 .3111026 seas12 | -.5298535 .0292638 -18.11 0.000 -.5898978 -.4698092 seas13 | 1.507664 .0698794 21.58 0.000 1.364283 1.651045 seas14 | .9474481 .04388 21.59 0.000 .8574138 1.037482 seas15 | -1.188358 .0445206 -26.69 0.000 -1.279706 -1.097009 seas16 | -.3671769 .0133315 -27.54 0.000 -.3945308 -.3398229 seas17 | -1.168979 .0442153 -26.44 0.000 -1.259701 -1.078257 seas18 | 2.162446 .0890196 24.29 0.000 1.979793 2.345099 seas19 | 1.992002 .0739876 26.92 0.000 1.840192 2.143812 seas20 | .3879424 .0180445 21.50 0.000 .3509182 .4249667 seas21 | .5780658 .0082637 69.95 0.000 .56111 .5950215 seas22 | -.9338928 .035588 -26.24 0.000 -1.006913 -.8608722 seas23 | -.3184197 .0102424 -31.09 0.000 -.3394354 -.2974039 seas24 | .2580937 .0108043 23.89 0.000 .2359251 .2802623 seas25 | .1203009 .0115244 10.44 0.000 .0966549 .1439469 seas26 | -.0816941 .0049231 -16.59 0.000 -.0917954 -.0715927 seas27 | .8735445 .039456 22.14 0.000 .7925875 .9545015 seas28 | -1.795878 .0671017 -26.76 0.000 -1.933559 -1.658197 | area_id | 2 | -.8049442 .0240156 -33.52 0.000 -.8542201 -.7556683 3 | .1886676 .0497091 3.80 0.001 .086673 .2906622 4 | -1.283852 .0373668 -34.36 0.000 -1.360523 -1.207182 5 | -.7520809 .0465838 -16.14 0.000 -.8476631 -.6564988 8 | .1736741 .0368127 4.72 0.000 .0981406 .2492075 9 | -.2946181 .0533794 -5.52 0.000 -.4041436 -.1850926 10 | .2892194 .0268134 10.79 0.000 .2342028 .3442361 11 | -.9149387 .0188249 -48.60 0.000 -.9535643 -.8763132 12 | .1438048 .0469812 3.06 0.005 .0474074 .2402022 13 | .0028595 .082356 0.03 0.973 -.1661211 .17184 14 | -.7486656 .1101322 -6.80 0.000 -.9746384 -.5226929 15 | -1.432503 .0239289 -59.87 0.000 -1.481601 -1.383405 16 | -1.370538 .1208752 -11.34 0.000 -1.618554 -1.122523 17 | .6711848 .0254829 26.34 0.000 .6188982 .7234715 18 | -.4761299 .044346 -10.74 0.000 -.5671203 -.3851394 19 | .4971111 .0426028 11.67 0.000 .4096975 .5845247 20 | -1.50061 .0579073 -25.91 0.000 -1.619426 -1.381794 21 | -1.566547 .0603342 -25.96 0.000 -1.690343 -1.442752 22 | -.4038198 .0315498 -12.80 0.000 -.4685547 -.3390849 23 | -.7746108 .0609162 -12.72 0.000 -.8996004 -.6496212 24 | .3005013 .0700309 4.29 0.000 .1568097 .4441928 25 | .5023639 .0599741 8.38 0.000 .3793072 .6254206 26 | -.1903253 .0466243 -4.08 0.000 -.2859906 -.0946601 28 | -.0339382 .0442037 -0.77 0.449 -.1246368 .0567604 29 | .1139126 .0228663 4.98 0.000 .0669948 .1608304 30 | -1.359155 .1339696 -10.15 0.000 -1.634038 -1.084272 31 | .8339293 .041325 20.18 0.000 .7491375 .9187212 | year | 1991 | -.0409704 .2667074 -0.15 0.879 -.5882088 .5062681 1992 | .0138065 .3695538 0.04 0.970 -.7444552 .7720682 1993 | -.1923331 .3390604 -0.57 0.575 -.8880275 .5033614 1994 | -1.09217 .3816662 -2.86 0.008 -1.875284 -.3090553 1995 | -1.195974 .3858888 -3.10 0.004 -1.987753 -.4041959 1996 | -1.317019 .3806726 -3.46 0.002 -2.098095 -.5359436 1997 | -1.833474 .3823754 -4.79 0.000 -2.618043 -1.048904 1998 | -1.499753 .4726296 -3.17 0.004 -2.469509 -.5299975 1999 | -1.980539 .4799361 -4.13 0.000 -2.965287 -.9957918 2000 | -1.080873 .4486673 -2.41 0.023 -2.001462 -.1602832 2001 | -.5792445 .4389129 -1.32 0.198 -1.479819 .3213303 2002 | -.3315953 .4431534 -0.75 0.461 -1.240871 .5776803 2003 | -.674732 .3812304 -1.77 0.088 -1.456952 .1074882 2004 | -1.508084 .3902248 -3.86 0.001 -2.30876 -.707409 2005 | -1.245525 .2702109 -4.61 0.000 -1.799952 -.6910986 2006 | -1.378251 .310085 -4.44 0.000 -2.014493 -.7420097 2007 | -1.703581 .3126757 -5.45 0.000 -2.345138 -1.062023 2008 | -1.726604 .2658771 -6.49 0.000 -2.272139 -1.18107 2009 | -1.209497 .4686396 -2.58 0.016 -2.171066 -.2479282 2010 | -1.034315 .5872997 -1.76 0.090 -2.239355 .1707243 2011 | -1.176121 .3696351 -3.18 0.004 -1.93455 -.4176925 2012 | -1.132361 .3732163 -3.03 0.005 -1.898137 -.3665843 2013 | -1.005914 .3875319 -2.60 0.015 -1.801064 -.2107638 2014 | -1.520172 .3741082 -4.06 0.000 -2.287778 -.7525653 2015 | -1.623691 .4098582 -3.96 0.000 -2.464651 -.7827314 2016 | -1.157076 .4336668 -2.67 0.013 -2.046887 -.2672654 2017 | -1.751642 .494226 -3.54 0.001 -2.76571 -.7375744 | _cons | 3.985035 .8866287 4.49 0.000 2.165823 5.804247 ------------------------------------------------------------------------------ C:\Users\320491\Desktop\Final NBER\Figures\cpi_table.tex dir : seeout Linear regression Number of obs = 1525 F( 26, 27) = . Prob > F = . R-squared = 0.4064 Root MSE = 1.8901 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pisxr | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.1109534 .0803381 -1.38 0.179 -.2757935 .0538867 lpisxr | -.0427529 .0323762 -1.32 0.198 -.1091834 .0236776 epi | 1.999731 .3062759 6.53 0.000 1.371305 2.628157 seas1 | -.648339 .0468015 -13.85 0.000 -.7443678 -.5523103 seas2 | 1.508872 .0810425 18.62 0.000 1.342586 1.675157 seas3 | -1.244636 .0504534 -24.67 0.000 -1.348158 -1.141114 seas4 | 2.433689 .0975273 24.95 0.000 2.23358 2.633799 seas5 | .0983874 .0233797 4.21 0.000 .0504163 .1463586 seas6 | -.291046 .0376876 -7.72 0.000 -.3683745 -.2137174 seas7 | -.9486141 .0338014 -28.06 0.000 -1.017969 -.8792594 seas8 | .110129 .0214156 5.14 0.000 .0661878 .1540702 seas9 | 1.282891 .0584848 21.94 0.000 1.16289 1.402892 seas10 | -.9137393 .0409958 -22.29 0.000 -.9978558 -.8296229 seas11 | .7638157 .0408097 18.72 0.000 .6800812 .8475503 seas12 | .2442431 .0398956 6.12 0.000 .1623841 .3261021 seas13 | 3.659023 .1361235 26.88 0.000 3.37972 3.938325 seas14 | 2.43868 .092588 26.34 0.000 2.248705 2.628655 seas15 | -.6406821 .0233304 -27.46 0.000 -.6885521 -.5928121 seas16 | 1.015429 .0389501 26.07 0.000 .93551 1.095348 seas17 | -.7082127 .0241208 -29.36 0.000 -.7577045 -.658721 seas18 | 3.889806 .1469793 26.46 0.000 3.58823 4.191383 seas19 | 3.088589 .1151548 26.82 0.000 2.852311 3.324867 seas20 | 2.090808 .0786048 26.60 0.000 1.929524 2.252091 seas21 | 2.090012 .0620439 33.69 0.000 1.962709 2.217316 seas22 | -.2743309 .0303296 -9.04 0.000 -.336562 -.2120997 seas23 | -.1409711 .0075334 -18.71 0.000 -.1564284 -.1255139 seas24 | .5863719 .0210813 27.81 0.000 .5431167 .6296272 seas25 | -.6126545 .0216721 -28.27 0.000 -.6571219 -.5681871 seas26 | .0558393 .0094839 5.89 0.000 .0363799 .0752986 seas27 | 1.239871 .0475436 26.08 0.000 1.142319 1.337422 seas28 | -2.355441 .0922721 -25.53 0.000 -2.544768 -2.166114 | area_id | 2 | -1.616096 .034014 -47.51 0.000 -1.685887 -1.546305 3 | .2511976 .0482455 5.21 0.000 .152206 .3501892 4 | -1.406746 .0662466 -21.23 0.000 -1.542672 -1.270819 5 | -.6142906 .053442 -11.49 0.000 -.7239446 -.5046367 8 | .2045413 .0377997 5.41 0.000 .1269828 .2820999 9 | .3255266 .0668738 4.87 0.000 .1883128 .4627404 10 | -.4916733 .0351997 -13.97 0.000 -.5638971 -.4194495 11 | -1.207663 .0283702 -42.57 0.000 -1.265874 -1.149453 12 | -.0653076 .0668888 -0.98 0.338 -.2025521 .071937 13 | -.5664297 .1193286 -4.75 0.000 -.8112718 -.3215877 14 | -.5783719 .1328232 -4.35 0.000 -.8509026 -.3058412 15 | -2.697483 .0618879 -43.59 0.000 -2.824466 -2.570499 16 | -1.788623 .1476201 -12.12 0.000 -2.091514 -1.485732 17 | -.4005329 .0364538 -10.99 0.000 -.4753299 -.3257359 18 | -1.170112 .0475275 -24.62 0.000 -1.267631 -1.072594 19 | .1082571 .0500844 2.16 0.040 .0054925 .2110218 20 | -2.444045 .0887328 -27.54 0.000 -2.626109 -2.26198 21 | -2.129383 .0831436 -25.61 0.000 -2.29998 -1.958787 22 | -1.758506 .0518678 -33.90 0.000 -1.86493 -1.652082 23 | -1.513276 .0726553 -20.83 0.000 -1.662353 -1.3642 24 | .0989369 .0845381 1.17 0.252 -.0745209 .2723947 25 | -.3732259 .0826504 -4.52 0.000 -.5428104 -.2036413 26 | -.5352871 .0534592 -10.01 0.000 -.6449763 -.4255978 28 | .0399302 .0468216 0.85 0.401 -.0561397 .1360001 29 | -.2439327 .0285997 -8.53 0.000 -.3026145 -.1852509 30 | -.9020036 .1632475 -5.53 0.000 -1.23696 -.5670474 31 | .7073271 .0577552 12.25 0.000 .5888233 .825831 | year | 1991 | .8910479 .3712646 2.40 0.024 .1292758 1.65282 1992 | 1.200021 .5734595 2.09 0.046 .0233794 2.376663 1993 | 1.309024 .4696197 2.79 0.010 .3454438 2.272604 1994 | -.1370441 .39963 -0.34 0.734 -.9570171 .682929 1995 | -.1682824 .4206405 -0.40 0.692 -1.031365 .6948005 1996 | .0096215 .5462854 0.02 0.986 -1.111264 1.130506 1997 | -.5765134 .5567287 -1.04 0.310 -1.718826 .5657994 1998 | -.5586939 .6042381 -0.92 0.363 -1.798488 .6811002 1999 | -.5501756 .5457958 -1.01 0.322 -1.670056 .5697049 2000 | .6351622 .533346 1.19 0.244 -.4591734 1.729498 2001 | 1.254311 .5783106 2.17 0.039 .0677154 2.440906 2002 | .7354252 .6479294 1.14 0.266 -.594016 2.064866 2003 | 1.760319 .617973 2.85 0.008 .4923431 3.028295 2004 | -.3559924 .4814199 -0.74 0.466 -1.343784 .6317996 2005 | .4105699 .4678748 0.88 0.388 -.54943 1.37057 2006 | -.8430487 .3383301 -2.49 0.019 -1.537245 -.1488526 2007 | -.6822462 .4371199 -1.56 0.130 -1.579142 .2146498 2008 | -.6174656 .3460758 -1.78 0.086 -1.327554 .0926233 2009 | -1.030286 .5981049 -1.72 0.096 -2.257496 .1969241 2010 | -.2498734 .7595211 -0.33 0.745 -1.808282 1.308535 2011 | -2.056501 .4931259 -4.17 0.000 -3.068311 -1.04469 2012 | -1.8543 .4437485 -4.18 0.000 -2.764797 -.9438034 2013 | -.8525729 .5119956 -1.67 0.107 -1.903101 .1979553 2014 | -1.705224 .4872214 -3.50 0.002 -2.70492 -.7055283 2015 | -1.552701 .5077016 -3.06 0.005 -2.594419 -.5109832 2016 | -.4240393 .539839 -0.79 0.439 -1.531697 .6836187 2017 | -.9522816 .66056 -1.44 0.161 -2.307639 .4030755 | _cons | -1.398153 1.338034 -1.04 0.305 -4.143572 1.347266 ------------------------------------------------------------------------------ C:\Users\320491\Desktop\Final NBER\Figures\cpi_table.tex dir : seeout . . local sample if year<2008 . regress pisxr `ygap_var' lpisxr epi /// > seas1-seas28 i.area_id `sample', vce(cl area_id) Linear regression Number of obs = 965 F( 2, 27) = . Prob > F = . R-squared = 0.3256 Root MSE = 1.9777 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pisxr | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | .1194124 .0606316 1.97 0.059 -.0049933 .2438181 lpisxr | .0885706 .0475916 1.86 0.074 -.0090793 .1862206 epi | 1.596113 .1598579 9.98 0.000 1.268112 1.924115 seas1 | -.5121626 .0467005 -10.97 0.000 -.6079842 -.416341 seas2 | 2.676692 .1170101 22.88 0.000 2.436607 2.916777 seas3 | -.9286272 .0497664 -18.66 0.000 -1.030739 -.826515 seas4 | 2.847908 .1248011 22.82 0.000 2.591837 3.103979 seas5 | .0871243 .0170987 5.10 0.000 .0520407 .1222079 seas6 | -.6953513 .0529824 -13.12 0.000 -.8040623 -.5866404 seas7 | -.5315763 .0262779 -20.23 0.000 -.5854941 -.4776585 seas8 | .370719 .0222553 16.66 0.000 .3250549 .4163831 seas9 | 1.827054 .0871829 20.96 0.000 1.64817 2.005939 seas10 | -.8275023 .0456217 -18.14 0.000 -.9211103 -.7338943 seas11 | .258947 .0275176 9.41 0.000 .2024854 .3154085 seas12 | .9021302 .0493331 18.29 0.000 .8009071 1.003353 seas13 | 3.963152 .1833729 21.61 0.000 3.586902 4.339402 seas14 | 3.375389 .1543207 21.87 0.000 3.058749 3.692029 seas15 | -.7607456 .0212831 -35.74 0.000 -.804415 -.7170762 seas16 | .0199442 .0194262 1.03 0.314 -.019915 .0598034 seas17 | -1.023687 .0269282 -38.02 0.000 -1.07894 -.9684353 seas18 | 6.38475 .2480594 25.74 0.000 5.875774 6.893726 seas19 | 4.535177 .2077854 21.83 0.000 4.108837 4.961518 seas20 | 3.639363 .1745574 20.85 0.000 3.281201 3.997525 seas21 | 2.953331 .0975804 30.27 0.000 2.753113 3.15355 seas22 | -.6941068 .0289244 -24.00 0.000 -.7534548 -.6347587 seas23 | -.1487417 .0041205 -36.10 0.000 -.1571963 -.140287 seas24 | 1.003216 .0393305 25.51 0.000 .9225168 1.083916 seas25 | -.9140743 .0453976 -20.13 0.000 -1.007222 -.8209261 seas26 | .079717 .0120373 6.62 0.000 .0550185 .1044154 seas27 | .5128947 .0162009 31.66 0.000 .4796531 .5461362 seas28 | -2.714955 .1472986 -18.43 0.000 -3.017187 -2.412723 | area_id | 2 | -1.632863 .074887 -21.80 0.000 -1.786518 -1.479207 3 | .4641747 .0586709 7.91 0.000 .343792 .5845574 4 | -1.214613 .1120238 -10.84 0.000 -1.444467 -.9847596 5 | -.1712741 .0573946 -2.98 0.006 -.2890381 -.0535102 8 | .7830615 .022911 34.18 0.000 .7360521 .8300709 9 | .5116033 .0566085 9.04 0.000 .3954523 .6277542 10 | -.4050821 .0286608 -14.13 0.000 -.4638893 -.3462749 11 | -1.023474 .0700196 -14.62 0.000 -1.167142 -.8798056 12 | .1135408 .0211198 5.38 0.000 .0702065 .1568751 13 | .0260448 .05425 0.48 0.635 -.0852671 .1373567 14 | -.1644002 .139531 -1.18 0.249 -.4506943 .1218938 15 | -2.355038 .1085055 -21.70 0.000 -2.577672 -2.132403 16 | -1.538247 .1730749 -8.89 0.000 -1.893367 -1.183127 17 | -.0213155 .0114491 -1.86 0.074 -.0448071 .0021762 18 | -.2321002 .0804199 -2.89 0.008 -.3971081 -.0670923 19 | .758804 .0981323 7.73 0.000 .5574531 .9601549 20 | -3.118169 .1391036 -22.42 0.000 -3.403586 -2.832752 21 | -2.226185 .1442544 -15.43 0.000 -2.52217 -1.930199 22 | -2.211849 .0973013 -22.73 0.000 -2.411494 -2.012203 23 | -1.649779 .1057844 -15.60 0.000 -1.86683 -1.432727 24 | .6225201 .093516 6.66 0.000 .4306412 .8143991 25 | -.4132752 .0331866 -12.45 0.000 -.4813684 -.345182 26 | -.4829893 .0750067 -6.44 0.000 -.6368903 -.3290883 28 | .6362069 .0472322 13.47 0.000 .5392944 .7331194 29 | -.1602218 .0542598 -2.95 0.006 -.2715537 -.0488899 30 | -.0590195 .1318886 -0.45 0.658 -.3296326 .2115936 31 | .8576305 .0926003 9.26 0.000 .6676303 1.047631 | _cons | -1.979066 .5382386 -3.68 0.001 -3.083441 -.8746918 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`cpioutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "No", /// > "Seasonal dummies", "Yes", "Sample", "1990-2007") C:\Users\320491\Desktop\Final NBER\Figures\cpi_table.tex dir : seeout . . . local sample if year<2008 . regress pisxr `ygap_var' lpisxr epi /// > seas1-seas28 i.area_id i.year `sample', vce(cl area_id) Linear regression Number of obs = 965 F( 19, 27) = . Prob > F = . R-squared = 0.4118 Root MSE = 1.8646 (Std. Err. adjusted for 28 clusters in area_id) ------------------------------------------------------------------------------ | Robust pisxr | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur | -.1868471 .0896565 -2.08 0.047 -.3708071 -.0028871 lpisxr | .0193405 .0456348 0.42 0.675 -.0742945 .1129754 epi | 2.590182 .4446797 5.82 0.000 1.677774 3.502589 seas1 | -.6998851 .061614 -11.36 0.000 -.8263065 -.5734636 seas2 | 2.279122 .1276473 17.85 0.000 2.017211 2.541033 seas3 | -1.051697 .0550544 -19.10 0.000 -1.16466 -.938735 seas4 | 2.512398 .1284407 19.56 0.000 2.248859 2.775936 seas5 | -.0399295 .0301695 -1.32 0.197 -.1018322 .0219733 seas6 | -.7671987 .0568295 -13.50 0.000 -.8838031 -.6505943 seas7 | -.5936414 .0290858 -20.41 0.000 -.6533206 -.5339622 seas8 | .2539418 .0296913 8.55 0.000 .1930203 .3148634 seas9 | 1.616202 .0878903 18.39 0.000 1.435866 1.796538 seas10 | -.9990805 .0567283 -17.61 0.000 -1.115477 -.8826836 seas11 | .1100711 .0379258 2.90 0.007 .0322537 .1878884 seas12 | .675955 .0607393 11.13 0.000 .5513283 .8005818 seas13 | 3.54981 .1830775 19.39 0.000 3.174166 3.925454 seas14 | 3.061917 .1527956 20.04 0.000 2.748406 3.375428 seas15 | -.7194372 .0315222 -22.82 0.000 -.7841154 -.654759 seas16 | -.0889886 .0301587 -2.95 0.006 -.1508691 -.0271082 seas17 | -.9618984 .0496326 -19.38 0.000 -1.063736 -.8600606 seas18 | 5.901053 .2435267 24.23 0.000 5.401377 6.400729 seas19 | 4.140443 .2038128 20.31 0.000 3.722253 4.558632 seas20 | 3.316761 .171229 19.37 0.000 2.965428 3.668094 seas21 | 2.673895 .1051658 25.43 0.000 2.458113 2.889678 seas22 | -.766355 .0351339 -21.81 0.000 -.8384438 -.6942661 seas23 | -.1349725 .0054964 -24.56 0.000 -.1462501 -.1236949 seas24 | .9463948 .0378442 25.01 0.000 .8687449 1.024045 seas25 | -.9043609 .0442736 -20.43 0.000 -.9952028 -.813519 seas26 | .0937119 .0121058 7.74 0.000 .0688729 .1185509 seas27 | .4947585 .0157606 31.39 0.000 .4624203 .5270966 seas28 | -2.761363 .1449117 -19.06 0.000 -3.058698 -2.464029 | area_id | 2 | -1.739381 .0763392 -22.78 0.000 -1.896016 -1.582746 3 | .1191712 .0884929 1.35 0.189 -.0624012 .3007437 4 | -1.369634 .1140063 -12.01 0.000 -1.603556 -1.135713 5 | -.4713497 .0818674 -5.76 0.000 -.6393277 -.3033717 8 | .730355 .0366528 19.93 0.000 .6551497 .8055604 9 | .2974824 .0746859 3.98 0.000 .1442396 .4507253 10 | -.2475192 .0414927 -5.97 0.000 -.3326553 -.1623832 11 | -1.057564 .0691187 -15.30 0.000 -1.199384 -.9157439 12 | .1677745 .0380807 4.41 0.000 .0896394 .2459096 13 | .2215893 .0709129 3.12 0.004 .076088 .3670905 14 | -.7308798 .182783 -4.00 0.000 -1.10592 -.35584 15 | -2.408059 .1049208 -22.95 0.000 -2.623339 -2.192779 16 | -2.068387 .2057216 -10.05 0.000 -2.490493 -1.646281 17 | -.1067378 .0289434 -3.69 0.001 -.1661247 -.0473509 18 | -.631086 .1123798 -5.62 0.000 -.8616704 -.4005017 19 | .2627425 .1329827 1.98 0.058 -.0101154 .5356005 20 | -3.15068 .1332639 -23.64 0.000 -3.424115 -2.877245 21 | -2.312085 .1401113 -16.50 0.000 -2.599569 -2.0246 22 | -2.180441 .0934945 -23.32 0.000 -2.372276 -1.988606 23 | -1.950249 .1685449 -11.57 0.000 -2.296075 -1.604424 24 | .1848028 .1271994 1.45 0.158 -.0761887 .4457944 25 | -.3068318 .0592744 -5.18 0.000 -.4284528 -.1852109 26 | -.7930721 .0965563 -8.21 0.000 -.9911893 -.5949548 28 | .3546271 .0719964 4.93 0.000 .2069027 .5023514 29 | -.421718 .074684 -5.65 0.000 -.5749568 -.2684791 30 | -.7142012 .1860136 -3.84 0.001 -1.09587 -.3325329 31 | .9190731 .1051913 8.74 0.000 .7032384 1.134908 | year | 1991 | 1.320741 .4726943 2.79 0.009 .3508521 2.290629 1992 | 2.157983 .6907414 3.12 0.004 .7406985 3.575267 1993 | 2.058041 .5966728 3.45 0.002 .8337697 3.282312 1994 | .6003481 .5143038 1.17 0.253 -.4549161 1.655612 1995 | .5919241 .5694918 1.04 0.308 -.5765766 1.760425 1996 | .8055556 .6956681 1.16 0.257 -.6218375 2.232949 1997 | .2058176 .7027244 0.29 0.772 -1.236054 1.647689 1998 | .4871173 .7952618 0.61 0.545 -1.144625 2.11886 1999 | .3757775 .7070465 0.53 0.599 -1.074962 1.826517 2000 | 1.309735 .6802033 1.93 0.065 -.0859271 2.705397 2001 | 2.102545 .776064 2.71 0.012 .5101928 3.694896 2002 | 1.965664 .8459935 2.32 0.028 .2298288 3.701499 2003 | 2.834499 .8429597 3.36 0.002 1.104889 4.56411 2004 | .4754844 .6267077 0.76 0.455 -.8104135 1.761382 2005 | .9624203 .5510202 1.75 0.092 -.1681797 2.09302 2006 | -.4056562 .3973877 -1.02 0.316 -1.221028 .4097159 2007 | -.0693728 .5317361 -0.13 0.897 -1.160405 1.02166 | _cons | -3.856 1.855784 -2.08 0.047 -7.663755 -.0482449 ------------------------------------------------------------------------------ . . outreg2 using "`path_folder'`fig_folder'`cpioutput'", /// > append `tab3_options' /// > addtext("Metro area FE", "Yes", "Year FE", "Yes", /// > "Seasonal dummies", "Yes", "Sample", "1990-2007") C:\Users\320491\Desktop\Final NBER\Figures\cpi_table.tex dir : seeout . . log close name: log: C:\Users\320491\Desktop\Final NBER\bartik_regressions.log log type: text closed on: 10 Jun 2019, 21:41:53 ---------------------------------------------------------------------------------------------------------------------------