Table 3.
Impact of Wages on Domestic Violence - Controls for Labor Supply
| Ln(female assaults) | |
|---|---|
| Female/male wage | −0.871 |
| [0.381] | |
| Black | −21.76 |
| [21.378] | |
| White | −44.852 |
| [27.240] | |
| Hispanic | −36.008 |
| [18.274] | |
| Unemployment rate | 0.878 |
| [2.600] | |
| Ln(per capita income) | 0.296 |
| [0.478] | |
| Ln(non-intimate homicides) | 0.017 |
| [0.028] | |
| Incarceration flows per 10,000 males | 0 |
| [0.001] | |
| Ln(immigration) | −0.015 |
| [0.076] | |
| Ln (female students) | 0.099 |
| [0.208] | |
| Ln (male students) | −0.146 |
| [0.275] | |
| Ln(female population) | 0.252 |
| [0.180] | |
| Ln(primary care clinics) | 0 |
| [0.119] | |
| Lagged dependent variable | 0.016 |
| [0.037] | |
| Ln(male assaults) | 0.355 |
| [0.066] | |
| Ln(female non-assault injuries) | 0.453 |
| [0.112] | |
| Observations | 930 |
| R-squared | 0.96 |
| Robust standard errors clutlered on county in brackets |
Note: county, year and race fixed effects as well as county and race specific linear time trends also included.