Summary statistics for vehnit dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- vin | 0 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 state | 16 43 0 43 43 veh_no | 16 3.5 2.503331 2 10 -------------+--------------------------------------------------------- ocupants | 16 .375 .5 0 1 make | 16 50.25 28.52017 12 98 model | 16 508 328.1851 2 899 body_typ | 16 46.1875 35.1989 2 80 reg_stat | 16 43 0 43 43 -------------+--------------------------------------------------------- owner | 16 6 0 6 6 rollover | 16 0 0 0 0 j_knife | 16 0 0 0 0 trav_sp | 16 99 0 99 99 haz_carg | 16 0 0 0 0 -------------+--------------------------------------------------------- tow_veh | 16 0 0 0 0 v_config | 16 3.5625 7.659145 0 19 axles | 16 18.375 39.50506 0 98 cargo_bt | 16 18.375 39.50506 0 98 spec_use | 16 0 0 0 0 -------------+--------------------------------------------------------- emer_use | 16 0 0 0 0 impact1 | 16 7.9375 2.112463 6 12 impact2 | 16 7.375 2.156386 3 12 underide | 16 0 0 0 0 deformed | 16 3 1.460593 2 6 -------------+--------------------------------------------------------- impacts | 16 2 0 2 2 towaway | 16 9 0 9 9 fire_exp | 16 0 0 0 0 veh_cf1 | 16 0 0 0 0 veh_cf2 | 16 0 0 0 0 -------------+--------------------------------------------------------- veh_man | 16 99 0 99 99 avoid | 16 8 0 8 8 m_harm | 16 13.75 .6831301 12 14 deaths | 16 .0625 .25 0 1 seq1 | 16 99 0 99 99 -------------+--------------------------------------------------------- seq2 | 16 99 0 99 99 seq3 | 16 99 0 99 99 seq4 | 16 99 0 99 99 seq5 | 16 99 0 99 99 seq6 | 16 99 0 99 99 -------------+--------------------------------------------------------- vin_lngt | 16 16.25 2.175623 9 17 bus_use | 16 0 0 0 0 gvwr | 16 .375 .8062258 0 2 unittype | 16 3 0 3 3 st_case | 16 430292.9 160.2438 430011 430459 -------------+--------------------------------------------------------- mak_mod | 16 50758 28716.13 12461 98709 mod_year | 16 1997.75 8.744522 1973 2006 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- mcarr_id | 0 fldcd_tr | 0 whlbs_sh | 12 4858.083 4541.028 970 9999 whlbs_lg | 12 4507.917 4904.705 0 9999 mcycl_ds | 8 6580.125 4722.594 599 9999 -------------+--------------------------------------------------------- vin_wgt | 9 7682.556 3486.261 2458 9999 wgtcd_tr | 8 7 3.422614 1 9 dr_pres | 16 4 0 4 4 dr_drink | 16 0 0 0 0 l_state | 16 99 0 99 99 -------------+--------------------------------------------------------- l_type | 16 9 0 9 9 l_status | 16 9 0 9 9 cdl_stat | 16 9 0 9 9 l_endors | 16 9 0 9 9 l_compl | 16 9 0 9 9 -------------+--------------------------------------------------------- l_restri | 16 9 0 9 9 violchg1 | 16 99 0 99 99 violchg2 | 16 99 0 99 99 violchg3 | 16 99 0 99 99 prev_acc | 16 99 0 99 99 -------------+--------------------------------------------------------- prev_sus | 16 99 0 99 99 prev_dwi | 16 99 0 99 99 prev_spd | 16 99 0 99 99 prev_oth | 16 99 0 99 99 last_mo | 16 99 0 99 99 -------------+--------------------------------------------------------- first_mo | 16 99 0 99 99 dr_cf1 | 16 0 0 0 0 dr_cf2 | 16 0 0 0 0 dr_cf3 | 16 0 0 0 0 dr_cf4 | 16 0 0 0 0 -------------+--------------------------------------------------------- dr_wgt | 16 999 0 999 999 dr_hgt | 16 999 0 999 999 last_yr | 16 9999 0 9999 9999 first_yr | 16 9999 0 9999 9999 dr_zip | 16 99999 0 99999 99999 -------------+--------------------------------------------------------- month | 16 8.0625 4.265657 1 12 harm_ev | 16 13.125 1.024695 12 14 man_coll | 16 2.5625 2.189939 1 7 hit_run | 16 0 0 0 0 ve_forms | 16 2.1875 2.315707 1 8 by Jean Roth , jroth@nber.org , 18 Apr 2016