Domestic Violence: a Non-Random Affair

39 Pages Posted: 27 Apr 2000 Last revised: 22 Jul 2010

See all articles by Sharon K. Long

Sharon K. Long

The Urban Institute - Health Policy Center

Helen Tauchen

University of North Carolina (UNC) at Chapel Hill - Department of Economics; National Bureau of Economic Research (NBER)

Ann Dryden Witte

Wellesley College - Department of Economics; National Bureau of Economic Research (NBER)

Date Written: July 1985

Abstract

In this paper, we develop and estimate a model of violence between romantically linked men and women. Physical violence is viewed as both a source of direct gratification and as an instrument for controlling the victim's behavior. Our model is a Stackleberg type model in which the assailant maximizes expected utility subject to the stochastic reaction function of the victim. Our model is estimated by a bounded-?influence regression technique because the process generating violence appears to lead to a heavy-tailed error distribution. Our empirical results suggest that increases in the assailants(i.e. the male's) income serve to increase violence, while increases in the proportion of the year that he is employed serve to decrease violence. Further, the employment effect is larger than the income effect. By way of contrast, our results suggest that the effect of a change in the female's employment or income depends heavily onher economic status relative to the male's. Finally, we find that improvements in the female's opportunites outside the relationship significantly reduce the level of violence.

Suggested Citation

Long, Sharon K. and Tauchen, Helen V. and Dryden Witte, Ann, Domestic Violence: a Non-Random Affair (July 1985). NBER Working Paper No. w1665, Available at SSRN: https://ssrn.com/abstract=227186

Sharon K. Long

The Urban Institute - Health Policy Center

2100 M Street, N.W.
Washington, DC 20037
United States

Helen V. Tauchen (Contact Author)

University of North Carolina (UNC) at Chapel Hill - Department of Economics ( email )

Chapel Hill, NC 27599
United States
919-966-2384 (Phone)

National Bureau of Economic Research (NBER)

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Cambridge, MA 02138
United States

Ann Dryden Witte

Wellesley College - Department of Economics ( email )

106 Central Street
Wellesley, MA 02181
United States
781-283-2163 (Phone)
781-283-2177 (Fax)

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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