Table 6 FGLS Regression: Involved Drivers in Total and Fatal Crashes, < 601

Table 6
FGLS Regression: Involved Drivers in Total and Fatal Crashes, < 601

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Variable Total crashes
(a)
Fatal crashes
(b)
Coeff z-stat Coeff z-stat
Rpcinc 2.67E-02 4.65 –9.87E-04 –6.11
Cpigas –6.842 –8.90 –0.069 –2.89
Cpialc –7.910 –8.12 –0.116 –5.30
Uerate 945.280 5.98 –9.812 –1.60
Vmtlt60 1.37E-07 2.73
log(Totvmt) 2.757 6.56
Popden 0.852 2.36 –3.70E-02 –5.56
Pctge60 –1878.053 –10.54 –23.971 –4.70
Alclic 0.279 23.77 3.95E-03 17.07
AB541 –52.419 –4.83 –2.261 –3.47
APS 250.065 8.58 1.965 2.32
Slmt_65 72.421 6.22 0.627 1.09
Slmt_70 –48.308 –3.66 –0.444 –0.82
Pc_dui2 –32947.750 –6.72 85.661 3.57
Pcmcyc –2922.915 –4.92 –136.231 –5.41
Const 2060.190 9.66 –6.947 –0.78
  ρ range: (-0.035, 0.963)
mean ρ: 0.670
Wald χ2(37) = 13330.9
Prob > c2(37) = 0.0
ρ range: (-0.133, 0.898)
mean ρ: 0.381
Wald χ2(37) = 5764.4
Prob > c2(37) = 0.0

1 Not reported are estimates of the constant term and fixed effects for 24 consolidated metropolitan statistical area counties-Alameda, Butte, Contra Costa, El Dorado, Kern, Los Angeles, Marin, Napa, Orange, Placer, Riverside, Sacramento, San Benito, San Bernardino, San Diego, San Francisco, San Luis Obispo, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma, Sutter, and Ventura.

2 Predicted pc_dui was used in the total crashes equation.