Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 776 43 0 43 43 month | 776 6.818299 3.573988 1 12 ve_forms | 776 1.670103 .6961149 1 4 harm_ev | 776 14.52706 9.295953 1 43 man_coll | 776 1.46134 1.782655 0 6 -------------+--------------------------------------------------------- hit_run | 776 .1314433 .4773486 0 2 underide | 776 .4871134 2.037668 0 9 veh_no | 776 1.335052 .5575136 1 4 make | 776 39.20619 24.38188 2 99 model | 776 267.3454 324.5111 1 999 -------------+--------------------------------------------------------- body_typ | 776 19.35825 30.0114 2 99 mod_year | 776 88.03222 7.00398 64 99 vin_1 | 0 vin_2 | 0 vin_3 | 0 -------------+--------------------------------------------------------- vin_4 | 0 vin_5 | 0 vin_6 | 0 vin_7 | 0 vin_8 | 0 -------------+--------------------------------------------------------- vin_9 | 0 vin_10 | 0 vin_11 | 0 vin_12 | 0 fldcd_tr | 0 -------------+--------------------------------------------------------- reg_stat | 776 46.1366 13.30455 0 99 rollover | 776 .1082474 .4441842 0 2 j_knife | 776 0 0 0 0 trav_sp | 776 87.68041 24.00798 0 99 haz_carg | 776 .5219072 2.104872 0 9 -------------+--------------------------------------------------------- tow_veh | 776 .5219072 2.104872 0 9 spec_use | 776 .5309278 2.117594 0 9 emer_use | 776 0 0 0 0 impact1 | 776 9.257732 4.034441 0 13 impact2 | 776 9.472938 3.988602 0 13 -------------+--------------------------------------------------------- deformed | 776 3.56701 2.543687 0 6 impacts | 776 1.220361 .5319693 0 3 towaway | 776 1.739691 .5650207 1 3 fire_exp | 776 .0090206 .0946086 0 1 ocupants | 776 1.509021 1.028583 0 13 -------------+--------------------------------------------------------- deaths | 776 .4909794 .5988557 0 4 veh_cf1 | 776 2.087629 7.607131 0 31 veh_cf2 | 776 0 0 0 0 veh_man | 776 2.087629 3.305917 1 17 m_harm | 776 12.94845 8.942969 1 43 -------------+--------------------------------------------------------- wgtcd_tr | 218 5.522936 3.67479 1 9 vin_lngt | 776 16.23325 1.95061 7 17 dr_pres | 776 1.126289 .4841004 1 3 dr_drink | 776 .2384021 .426381 0 1 l_state | 774 46.32558 13.47452 6 99 -------------+--------------------------------------------------------- l_status | 774 5.343669 2.330567 0 9 l_compl | 774 2.910853 1.90283 0 9 l_restri | 774 .5710594 2.193012 0 9 viol_chg | 774 2.299742 2.13892 0 7 prev_acc | 774 6.267442 24.12359 0 99 -------------+--------------------------------------------------------- prev_sus | 774 6.268734 24.12328 0 99 prev_dwi | 774 6.270026 24.12298 0 99 prev_spd | 774 6.341085 24.10649 0 99 prev_oth | 774 7.036176 23.95881 0 99 last_mo | 774 8.55814 23.80442 0 99 -------------+--------------------------------------------------------- last_yr | 774 41.20155 47.33362 0 99 first_mo | 774 8.462532 23.81175 0 99 first_yr | 774 40.98837 47.09223 0 99 dr_cf1 | 776 26.56959 20.19333 0 90 dr_cf2 | 776 22.38789 17.61313 0 87 -------------+--------------------------------------------------------- dr_cf3 | 776 23.2384 26.02487 0 90 st_case | 776 430278.4 158.3981 430001 430553 mak_mod | 776 39473.53 24530.15 2402 99999 vin_wgt | 625 4476.946 3386.791 137 9999 whlbs_sh | 721 2470.639 3284.632 799 9999 -------------+--------------------------------------------------------- whlbs_lg | 721 1777.072 3622.308 0 9999 mcycl_ds | 120 8380.767 3530.528 49 9999 dr_zip | 774 6962.266 23925.99 601 99999 vin | 0 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 owner | 776 2.131443 1.847262 0 9 v_config | 776 .9639175 2.624202 0 9 axles | 776 11.56057 31.70715 0 99 -------------+--------------------------------------------------------- cargo_bt | 776 11.46134 31.54022 0 99 avoid | 776 0 0 0 0 cdl_stat | 774 .5775194 2.201625 0 9 l_endors | 774 .5697674 2.193054 0 9 by Jean Roth , jroth@nber.org , 18 Apr 2016