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 | 3 43 0 43 43 veh_no | 3 2 0 2 2 -------------+--------------------------------------------------------- ocupants | 3 .3333333 .5773503 0 1 make | 3 51.66667 33.08071 20 86 model | 3 438.6667 442.7034 16 899 body_typ | 3 31.33333 40.85748 2 78 reg_stat | 3 43 0 43 43 -------------+--------------------------------------------------------- owner | 3 6 0 6 6 rollover | 3 0 0 0 0 j_knife | 3 0 0 0 0 trav_sp | 3 99 0 99 99 haz_inv | 3 1 0 1 1 -------------+--------------------------------------------------------- haz_plac | 3 0 0 0 0 haz_cno | 3 0 0 0 0 haz_rel | 3 0 0 0 0 tow_veh | 3 0 0 0 0 v_config | 3 6.333333 10.96966 0 19 -------------+--------------------------------------------------------- cargo_bt | 3 32.66667 56.58033 0 98 spec_use | 3 0 0 0 0 emer_use | 3 0 0 0 0 impact1 | 3 5 1.732051 3 6 impact2 | 3 5 1.732051 3 6 -------------+--------------------------------------------------------- underide | 3 0 0 0 0 deformed | 3 2.666667 1.154701 2 4 impacts | 3 2 0 2 2 towaway | 3 9 0 9 9 fire_exp | 3 0 0 0 0 -------------+--------------------------------------------------------- veh_cf1 | 3 0 0 0 0 veh_cf2 | 3 0 0 0 0 veh_man | 3 99 0 99 99 avoid | 3 8 0 8 8 m_harm | 3 14 0 14 14 -------------+--------------------------------------------------------- deaths | 3 0 0 0 0 seq1 | 3 99 0 99 99 seq2 | 3 99 0 99 99 seq3 | 3 99 0 99 99 seq4 | 3 99 0 99 99 -------------+--------------------------------------------------------- seq5 | 3 99 0 99 99 seq6 | 3 99 0 99 99 vin_lngt | 3 17 0 17 17 bus_use | 3 0 0 0 0 gvwr | 3 .6666667 1.154701 0 2 -------------+--------------------------------------------------------- unittype | 3 3 0 3 3 mcarr_i1 | 3 33 57.15768 0 99 st_case | 3 430117.7 37.072 430075 430142 haz_id | 3 0 0 0 0 mak_mod | 3 52105.33 33523.41 20016 86899 -------------+--------------------------------------------------------- mod_year | 3 1999 4.358899 1994 2002 vina_mod | 0 ser_tr | 0 vin_bt | 0 mcarr_i2 | 0 -------------+--------------------------------------------------------- fldcd_tr | 0 mcarr_id | 0 whlbs_sh | 3 688.6667 596.7381 0 1053 whlbs_lg | 3 0 0 0 0 mcycl_ds | 0 -------------+--------------------------------------------------------- vin_wgt | 2 3124.5 870.4484 2509 3740 wgtcd_tr | 1 8 . 8 8 dr_pres | 3 4 0 4 4 dr_drink | 3 0 0 0 0 l_state | 3 99 0 99 99 -------------+--------------------------------------------------------- l_type | 3 9 0 9 9 l_status | 3 9 0 9 9 cdl_stat | 3 9 0 9 9 l_endors | 3 9 0 9 9 l_compl | 3 9 0 9 9 -------------+--------------------------------------------------------- l_restri | 3 9 0 9 9 violchg1 | 3 99 0 99 99 violchg2 | 3 99 0 99 99 violchg3 | 3 99 0 99 99 prev_acc | 3 99 0 99 99 -------------+--------------------------------------------------------- prev_sus | 3 99 0 99 99 prev_dwi | 3 99 0 99 99 prev_spd | 3 99 0 99 99 prev_oth | 3 99 0 99 99 last_mo | 3 99 0 99 99 -------------+--------------------------------------------------------- first_mo | 3 99 0 99 99 dr_cf1 | 3 0 0 0 0 dr_cf2 | 3 0 0 0 0 dr_cf3 | 3 0 0 0 0 dr_cf4 | 3 0 0 0 0 -------------+--------------------------------------------------------- dr_wgt | 3 999 0 999 999 dr_hgt | 3 999 0 999 999 last_yr | 3 9999 0 9999 9999 first_yr | 3 9999 0 9999 9999 dr_zip | 3 99999 0 99999 99999 -------------+--------------------------------------------------------- month | 3 4.333333 1.527525 3 6 harm_ev | 3 14 0 14 14 man_coll | 3 2.333333 2.309401 1 5 hit_run | 3 0 0 0 0 ve_forms | 3 1 0 1 1 by Jean Roth , jroth@nber.org , 18 Apr 2016