Differences in Rental and Nonrental Car Crashes

Table 3

Estimation results of binary logit, rare event logit, and Firth logit models.

Variable	Binary logistic model			Rare event logistic model			Firth logistic model
	Coeff.	Std. err.	value	Coeff.	Std. err.	value	Coeff.	Std. err.	value
Driver demographics
Male	0.9986	0.0377	<0.001	0.9981	0.0377	<0.001	0.9981	0.0376	<0.001
Age (25–44)	−0.9239	0.0356	<0.001	−0.9241	0.0356	<0.001	−0.9241	0.0356	<0.001
Age (45–64)	−1.3282	0.0400	<0.001	−1.3181	0.0409	<0.001	−1.3181	0.0409	<0.001
Age (65+)	−2.2222	0.111	<0.001	−2.2170	0.1107	<0.001	−2.2171	0.1104	<0.001
Driver behaviors
Inattention	0.1752	0.0284	<0.001	0.1751	0.0284	<0.001	0.1751	0.0284	<0.001
Impaired driving	−0.1084	0.0514	0.035	−0.1076	0.0515	0.037	−0.1076	0.0514	0.036
Poor driving	0.3567	0.0657	<0.001	0.3583	0.06537	<0.001	0.3583	0.0658	<0.001
Poor handling	0.4039	0.1192	0.001	0.4097	0.1183	0.001	0.4097	0.1188	0.001
Aggressive driving	0.5040	0.1595	0.002	0.5146	0.1575	0.001	0.5146	0.1586	0.001
Other driver factors	0.2209	0.0848	0.009	0.2236	0.0879	0.008	0.2236	0.0846	0.008
Control variables
No vehicle factor	−0.0082	0.0846	0.923	0.0052	0.0845	0.950	0.0053	0.0845	0.950
No road factor	−0.0918	0.0664	0.167	−0.0935	0.0661	0.157	−0.0934	0.0664	0.159
No environmental factor	−0.1059	0.1739	0.543	−0.1188	0.1734	0.493	−0.1186	0.1728	0.492
Constant	−3.1748	0.1968	<0.001	−3.1565	0.1977	<0.001	−3.1566	0.1957	<0.001

Note.   and   denote statistical significance at 95%  and  99% confidence levels.