Table 1.

Regression results

Dependent variable	All deaths	All deaths	All deaths	All deaths	Ln (Deaths – US population ratio)	Ln (Deaths – real damage ratio)
Pressure	−0.552***	−0.693***	−0.645***	−0.666***	−0.752***	0.777***
	(0.147)	(0.137)	(0.161)	(0.134)	(0.150)	(0.149)
Normalized damages	0.863***
	(0.333)
Gender Index (female = 10, male = 0)	0.172	0.453***	0.287*	0.387**	0.00673	0.126
	(0.118)	(0.166)	(0.167)	(0.162)	(0.142)	(0.133)
US population		0.00865		0.0216		−0.716***
		(0.137)		(0.143)		(0.134)
County population density			0.365**	0.306*	0.542*	−0.0612
			(0.158)	(0.175)	(0.301)	(0.202)
Gender Index × Pressure	0.395**	0.162	0.268*	0.152	0.0405	−0.272**
	(0.157)	(0.115)	(0.146)	(0.113)	(0.128)	(0.125)
Gender Index × Normalized damages	0.705***
	(0.246)
Gender Index × US population		−0.348**		−0.336**		−0.304**
		(0.143)		(0.145)		(0.133)
Gender Index × County population density			−0.548***	−0.480***	−0.563*	−0.0424
			(0.169)	(0.170)	(0.309)	(0.212)
Constant	2.476***	2.585***	2.782***	2.637***	−17.20***	−4.286***
	(0.125)	(0.182)	(0.203)	(0.183)	(0.152)	(0.143)
Observations	92	92	92	92	82	82
Estimator	NB	NB	NB	NB	OLS	OLS
F test: all gender parameters sum to zero (two-sided P value)	0.00112	0.264	0.980	0.400	0.195	3.62e-05

SEs are in parentheses. ***P < 0.01, **P < 0.05, *P < 0.1. All specifications show robust (White) SEs as Jung et al. (4) suggest. The results are qualitatively the same without using robust SEs.