Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 629 43 0 43 43 ve_forms | 629 1.613672 .7370133 1 5 harm_ev | 629 14.74722 10.24515 1 43 man_coll | 629 1.251192 1.597326 0 6 hit_run | 629 .0715421 .3652514 0 2 -------------+--------------------------------------------------------- veh_no | 629 1.306836 .5611927 1 5 make | 629 36.60095 22.71461 2 99 model | 629 419.9984 264.4522 1 999 body_typ | 629 18.58506 30.69873 2 99 mod_year | 629 82.88553 6.84912 56 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 -------------+--------------------------------------------------------- fldcd_tr | 0 reg_stat | 629 45.58188 11.75324 43 99 rollover | 629 .063593 .3325645 0 2 j_knife | 629 0 0 0 0 trav_sp | 629 81.49921 27.71124 0 99 -------------+--------------------------------------------------------- haz_carg | 629 .2289348 1.418168 0 9 tow_veh | 629 .2289348 1.418168 0 9 spec_use | 629 .2289348 1.418168 0 9 emer_use | 629 0 0 0 0 impact1 | 629 9.489666 3.987876 0 14 -------------+--------------------------------------------------------- impact2 | 629 9.564388 3.974169 0 14 deformed | 629 3.529412 2.61935 0 6 impacts | 629 1.108108 .4664691 0 3 towaway | 629 1.707472 .5444785 1 3 fire_exp | 629 0 0 0 0 -------------+--------------------------------------------------------- ocupants | 629 1.558029 1.033771 1 7 deaths | 629 .4896661 .5771427 0 3 veh_cf1 | 629 1.329094 5.988694 0 31 veh_cf2 | 629 0 0 0 0 veh_man | 629 2.960254 4.503008 1 17 -------------+--------------------------------------------------------- m_harm | 629 14.30207 10.19184 1 43 wgtcd_tr | 238 5.810924 3.705676 1 9 vin_lngt | 629 26.8601 29.22316 7 99 dr_pres | 629 1.038156 .2738155 1 3 dr_drink | 629 .2718601 .4452723 0 1 -------------+--------------------------------------------------------- l_state | 629 44.67727 11.39264 6 99 l_status | 629 4.575517 2.397472 0 9 l_compl | 629 2.82194 1.886111 0 9 l_restri | 629 .6550079 2.113852 0 9 viol_chg | 629 2.119237 2.138537 0 9 -------------+--------------------------------------------------------- prev_acc | 629 5.823529 23.31266 0 99 prev_sus | 629 5.872814 23.30181 0 99 prev_dwi | 629 5.869634 23.30261 0 99 prev_spd | 629 6.109698 23.25405 0 99 prev_oth | 629 6.63434 23.15071 0 99 -------------+--------------------------------------------------------- last_mo | 629 8.341812 22.98634 0 99 last_yr | 629 40.85215 45.26091 0 99 first_mo | 629 8.17965 23.00619 0 99 first_yr | 629 40.57552 44.96265 0 99 dr_cf1 | 629 28.09857 22.17734 0 87 -------------+--------------------------------------------------------- dr_cf2 | 629 22.30525 21.83666 0 90 dr_cf3 | 629 16.16216 20.33617 0 90 st_case | 629 430237.3 133.7018 430001 430474 mak_mod | 629 37020.95 22821.88 2401 99999 vin_wgt | 496 4899.754 3517.776 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 496 3465.433 4020.488 799 9999 whlbs_lg | 496 2815.179 4428.353 0 9999 mcycl_ds | 138 8924.529 2979.226 250 9999 dr_zip | 629 4743.01 18934.47 601 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 owner | 629 1.974563 1.678637 1 9 v_config | 629 .2289348 1.418168 0 9 -------------+--------------------------------------------------------- axles | 629 2.518283 15.59984 0 99 cargo_bt | 629 2.518283 15.59984 0 99 avoid | 629 .0127186 .252056 0 6 cdl_stat | 629 .5294118 2.119332 0 9 l_endors | 629 .5294118 2.119332 0 9 by Jean Roth , jroth@nber.org , 18 Apr 2016