Summary statistics for natl1978 dataset : by Jean Roth , jroth@nber.org , 3 Jan 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- datayear | 2,865,686 8 0 8 8 shipnum | 0 rectype | 2,865,686 1.229753 .4206738 1 2 restatus | 2,865,686 1.259081 .5038138 1 4 stateres | 0 -------------+--------------------------------------------------------- cntyres | 0 cityres | 0 citrspop | 0 smsares | 0 metrores | 0 -------------+--------------------------------------------------------- divres | 2,865,686 4.820654 2.366468 0 9 stsubres | 2,865,686 51.57725 24.05248 0 95 statenat | 0 cntynat | 0 divocc | 2,865,686 4.83369 2.358839 1 9 -------------+--------------------------------------------------------- stsubocc | 2,865,686 51.70893 23.96884 11 95 csex | 2,865,686 1.487179 .4998357 1 2 birattnd | 2,865,686 1.02068 .2164189 1 4 frace | 2,865,686 2.035244 2.521762 0 9 mrace | 2,865,686 1.233497 .749534 0 9 -------------+--------------------------------------------------------- crace | 2,865,686 1.225895 .6557144 0 8 crace3 | 2,865,686 1.355439 .7475708 1 3 dmage | 2,865,686 24.78014 5.242724 10 49 mage36 | 2,865,686 11.78081 5.241252 1 36 mage15 | 2,865,686 11.83421 3.352537 1 17 -------------+--------------------------------------------------------- mage12 | 2,865,686 8.336365 1.559777 1 13 mage8 | 2,865,686 3.557346 1.089998 1 8 mage7 | 2,865,686 3.556973 1.088646 1 7 mage6 | 2,865,686 2.5602 1.082527 1 6 nlbnl | 2,865,686 1.767637 8.739412 0 99 -------------+--------------------------------------------------------- nlbnd | 2,865,686 .8127311 8.75833 0 99 nlbd | 2,865,686 1.383952 10.69315 0 99 dtotord | 2,865,686 3.40705 10.64298 1 99 totord9 | 2,865,686 2.309688 1.586508 1 9 dlivord | 2,865,686 2.806828 8.741257 1 99 -------------+--------------------------------------------------------- livord9 | 2,865,686 2.07677 1.390012 1 9 livord8 | 2,865,686 2.056771 1.307464 1 8 livord7 | 2,865,686 2.042105 1.250158 1 7 livord6 | 2,865,686 2.011683 1.155662 1 6 livord3 | 2,865,686 1.587446 .5083048 1 3 -------------+--------------------------------------------------------- dfage | 2,865,686 36.7201 24.0533 10 99 fage11 | 2,865,686 5.032735 2.522748 1 11 dbirwt | 2,865,686 3344.208 677.3629 227 9999 birwt12 | 2,865,686 7.165846 1.24358 1 12 birwt3 | 2,865,686 1.931359 .2618827 1 3 -------------+--------------------------------------------------------- pldel | 2,865,686 1.012888 .1649024 1 9 dplural | 2,865,686 1.020018 .1425911 1 3 plural3 | 2,865,686 1.020018 .1425911 1 3 plural2 | 2,865,686 1.01966 .1388285 1 2 birmon | 2,865,686 6.618571 3.428007 1 12 -------------+--------------------------------------------------------- birday | 2,865,686 15.75593 8.784593 1 99 lmpmon | 2,865,686 18.78565 31.41698 1 99 lmpday | 2,865,686 37.59954 37.80806 1 99 lmpyr | 0 dgestat | 2,865,686 55.72949 26.56829 17 99 -------------+--------------------------------------------------------- gestat10 | 2,865,686 7.669923 1.812905 1 10 gestat3 | 2,865,686 2.207734 .5416783 1 3 dmeduc | 2,865,686 23.00184 28.72095 0 99 meduc14 | 2,865,686 8.946428 2.863099 1 14 meduc6 | 2,865,686 3.482992 1.363738 1 6 -------------+--------------------------------------------------------- dfeduc | 2,865,686 33.29822 36.79948 0 99 feduc14 | 2,865,686 10.0289 3.136352 1 14 dmar | 2,865,686 3.94023 3.760244 1 9 mar2 | 2,865,686 1.105351 .3070057 1 2 monprec | 0 -------------+--------------------------------------------------------- mpre10 | 2,865,686 2.420037 2.212021 1 10 mpre6 | 2,865,686 1.991656 1.24836 1 6 llbmon | 2,865,686 45.78918 37.96095 1 99 llbyr | 2,865,686 77.99369 7.500177 37 99 disllb | 2,865,686 451.783 393.5711 0 999 -------------+--------------------------------------------------------- isllb17 | 2,865,686 7.458566 7.569593 0 21 isllb10 | 2,865,686 3.784003 3.727749 0 10 isllb8 | 2,865,686 3.055848 2.968596 0 8 lfdmon | 2,865,686 71.13643 22.66827 1 99 lfdyr | 2,865,686 77.25379 4.002897 2 99 -------------+--------------------------------------------------------- dlfd | 2,865,686 715.4089 235.9446 0 999 dterm | 2,865,686 458.2034 407.2597 0 999 term9 | 2,865,686 3.902489 3.486658 0 9 outcome | 2,865,686 .81623 .7891605 0 3 mplbir | 2,865,686 29.81461 15.9253 1 99 -------------+--------------------------------------------------------- nprevis | 2,865,686 23.36401 31.73178 0 99 marstrflg | 2,865,686 .615238 .4865391 0 1 educstrflg | 2,865,686 .8908684 .3118044 0 1 lmprflg | 2,865,686 .9046773 .2936602 0 1 monprerflg | 2,865,686 .9939931 .0772713 0 1 -------------+--------------------------------------------------------- llbrflg | 2,865,686 .8853632 .3185831 0 1 lfdrflg | 2,865,686 .8853632 .3185831 0 1 marsmsarflg | 2,865,686 .3423222 .4744869 0 1 educsmsarflg | 2,865,686 .5724758 .4947195 0 1 congenrflg | 2,865,686 .875299 .3303797 0 1 -------------+--------------------------------------------------------- nprevisrflg | 2,865,686 .8936171 .3083271 0 1 omapsrflg | 2,865,686 .6912983 .4619578 0 1 fmapsrflg | 2,865,686 .6863365 .4639814 0 1 marstoflg | 2,865,686 1 0 1 1 educstoflg | 2,865,686 1 0 1 1 -------------+--------------------------------------------------------- lmpoflg | 2,865,686 1 0 1 1 monpreoflg | 2,865,686 1 0 1 1 llboflg | 2,865,686 1 0 1 1 lfdoflg | 2,865,686 1 0 1 1 congenflg | 2,865,686 1 0 1 1 -------------+--------------------------------------------------------- nprevisoflg | 2,865,686 1 0 1 1 omapsoflg | 2,865,686 1 0 1 1 fmapsoflg | 2,865,686 1 0 1 1 attend | 2,865,686 1.071212 .6326275 1 9 oterml20 | 2,865,686 25.96765 40.06026 0 99 -------------+--------------------------------------------------------- otermm20 | 2,865,686 25.63536 40.07786 0 99 omaps | 2,865,686 39.41668 43.19791 0 99 omapsr | 2,865,686 3.932148 .9649532 1 5 fmaps | 2,865,686 40.51272 42.82919 0 99 fmapsr | 2,865,686 4.25513 .6509189 1 5 -------------+--------------------------------------------------------- origm | 2,865,686 63.80901 37.90317 0 99 origf | 2,865,686 66.51767 37.04429 0 99 recwt | 2,865,686 1.164922 .37111 1 2 nprev28 | 2,865,686 13.69133 6.888168 1 28 nprev12 | 2,865,686 7.130987 2.644505 1 12 by Jean Roth , jroth@nber.org , 3 Jan 2016