Table 2.

Impact of Wages on Domestic Violence - Main Specification

	(1)	(2)	(3)	(4)	(5)	(6)
Panel A: Ratio of Wages	Ln(female assaults)	Ln(female assaults)	Ln(female assaults)	Ln(drug admissions)	Ln(male assaults)	Ln(female assaults)
Female/male wage	−1.469	−0.831	−0.813	−0.023	−0.257	0.119
	[0.673]	[0.313]	[0.317]	[0.072]	[0.284]	[0.562]
Female/male wage* weekend						−1.15
						[0.444]
Observations	984	982	982	887	982	616
R-squared	0.91	0.95	0.96	0.99	0.99	0.96
Panel B: Linear Difference in Wages
Male wage-female wage	0.0047	0.0024	0.0024	0	0.0009	−0.0003
	[0.0020]	[0.0009]	[0.0009]	[0.000]	[0.0008]	[0.0017]
(Male-female wage)*weekend						0.0031
						[0.0015]
Observations	984	982	982	887	982	616
R-squared	0.91	0.95	0.96	0.99	0.99	0.96
Robust standard errors clutlered on county in brackets
County, year, race fixed effects	Y	Y	Y	Y	Y	Y
County and race specific linear time trends	Y	Y	Y	Y	Y	Y
Ln(population), ln(non-intimate homicides)		Y	Y	Y	Y	Y
Unemployment rate and ln(per capita income)		Y	Y	Y	Y	Y
Lagged dependent variable			Y	Y	Y
Ln(non-assault injuries)		Y	Y		Y	Y
Ln(assaults opposite sex)		Y	Y		Y	Y

Notes: column 4 includes data from 1992–2003;

column 6 includes data for years 1990, 1992–1994 & 1996 and also includes the main effect of weekend and interactions beween weekend and unemployment and per capita income