Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 781 43 0 43 43 month | 781 6.519846 3.451299 1 12 ve_forms | 781 1.793854 .9458482 1 5 harm_ev | 781 14.54545 9.495723 1 43 man_coll | 781 1.460948 1.74314 0 6 -------------+--------------------------------------------------------- hit_run | 781 .1357234 .498219 0 3 underide | 781 .2893726 1.585431 0 9 veh_no | 781 1.396927 .6951781 1 5 make | 781 37.81178 22.46403 2 99 model | 781 346.4917 285.2538 1 999 -------------+--------------------------------------------------------- body_typ | 781 17.90141 28.81589 2 99 mod_year | 781 86.51216 6.410642 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 | 781 45.86812 12.35248 43 99 rollover | 781 .0819462 .3835653 0 2 j_knife | 781 0 0 0 0 trav_sp | 781 86.65557 24.88729 0 99 haz_carg | 781 .4609475 1.985221 0 9 -------------+--------------------------------------------------------- tow_veh | 781 .4763124 2.010489 0 9 spec_use | 781 .46863 1.99502 0 9 emer_use | 781 0 0 0 0 impact1 | 781 9.318822 3.999938 0 12 impact2 | 781 9.357234 4.050535 0 13 -------------+--------------------------------------------------------- deformed | 781 3.541613 2.505353 0 6 impacts | 781 1.216389 .5643583 0 3 towaway | 781 1.742638 .5607575 1 3 fire_exp | 781 .0076825 .0873683 0 1 ocupants | 781 1.596671 1.261842 0 20 -------------+--------------------------------------------------------- deaths | 781 .4775928 .6433664 0 5 veh_cf1 | 781 1.979513 7.514573 0 31 veh_cf2 | 781 0 0 0 0 veh_man | 781 2.619718 3.994878 1 17 m_harm | 781 13.72471 9.711598 1 43 -------------+--------------------------------------------------------- wgtcd_tr | 206 5.567961 3.62683 1 9 vin_lngt | 781 16.08451 2.163337 6 17 dr_pres | 781 1.120359 .4705238 1 3 dr_drink | 781 .212548 .4093726 0 1 l_state | 777 45.85714 13.5725 6 99 -------------+--------------------------------------------------------- l_status | 777 5.212355 2.448953 0 9 l_compl | 777 2.957529 1.997937 0 9 l_restri | 777 .7709138 2.337839 0 9 viol_chg | 777 2.214929 2.125904 0 7 prev_acc | 777 7.263835 25.82806 0 99 -------------+--------------------------------------------------------- prev_sus | 777 7.288288 25.82169 0 99 prev_dwi | 777 7.284427 25.82275 0 99 prev_spd | 777 7.389961 25.79736 0 99 prev_oth | 777 7.679537 25.72664 0 99 last_mo | 777 8.934363 25.56202 0 99 -------------+--------------------------------------------------------- last_yr | 777 30.98456 44.00998 0 99 first_mo | 777 8.787645 25.5768 0 99 first_yr | 777 30.92278 43.92466 0 99 dr_cf1 | 781 27.24968 20.8875 0 89 dr_cf2 | 781 22.63892 18.92279 0 87 -------------+--------------------------------------------------------- dr_cf3 | 781 22.03841 25.69208 0 90 st_case | 781 430273.1 158.8509 430001 430550 mak_mod | 781 38158.27 22570.72 2402 99999 vin_wgt | 635 4419.364 3372.583 216 9999 whlbs_sh | 729 2427.557 3264.057 799 9999 -------------+--------------------------------------------------------- whlbs_lg | 729 1732.196 3597.602 0 9999 mcycl_ds | 113 8126.77 3722.768 171 9999 dr_zip | 777 7123.291 23659.84 601 99999 vin | 0 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 owner | 781 2.103713 1.773957 1 9 v_config | 781 .6491677 2.199613 0 9 axles | 781 7.722151 26.48625 0 99 -------------+--------------------------------------------------------- cargo_bt | 781 5.325224 21.82281 0 99 avoid | 781 0 0 0 0 cdl_stat | 777 .6679537 2.355716 0 9 l_endors | 777 .6615187 2.347948 0 9 by Jean Roth , jroth@nber.org , 18 Apr 2016