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Partially Identified Treatment Effects under Imperfect Compliance: The Case of Domestic Violence

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  • Siddique, Zahra

    () (University of Bristol)

Abstract

During the 1980s a set of randomized experiments were carried out to determine the usefulness of a mandatory arrest policy for domestic assault offenders. The first of these was the Minneapolis Domestic Violence experiment (MDVE), which was carried out in 1981. This paper re-examines the data from the MDVE and uses the recent literature on partial identification to determine the implications for a mandatory arrest policy for domestic assault offenders today. I find support for a mandatory arrest policy for domestic assault offenders, even under a set of minimal assumptions on offender and police behavior.

Suggested Citation

  • Siddique, Zahra, 2009. "Partially Identified Treatment Effects under Imperfect Compliance: The Case of Domestic Violence," IZA Discussion Papers 4565, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp4565
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    References listed on IDEAS

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    1. Joshua Angrist, 2005. "Instrumental Variables Methods in Experimental Criminological Research: What, Why, and How?," NBER Technical Working Papers 0314, National Bureau of Economic Research, Inc.
    2. Robert A. Pollak, 2004. "An intergenerational model of domestic violence," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(2), pages 311-329, June.
    3. Betsey Stevenson & Justin Wolfers, 2006. "Bargaining in the Shadow of the Law: Divorce Laws and Family Distress," The Quarterly Journal of Economics, Oxford University Press, vol. 121(1), pages 267-288.
    4. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    5. Binder, Arnold & Meeker, James W., 1988. "Experiments as reforms," Journal of Criminal Justice, Elsevier, vol. 16(4), pages 347-358.
    6. Jorg Stoye, 2009. "More on Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 77(4), pages 1299-1315, July.
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    Cited by:

    1. Ho, Katherine & Rosen, Adam M., 2015. "Partial Identification in Applied Research: Benefits and Challenges," CEPR Discussion Papers 10883, C.E.P.R. Discussion Papers.
    2. Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
    3. Zahra Siddique, 2014. "Randomized control trials in an imperfect world," IZA World of Labor, Institute for the Study of Labor (IZA), pages 110-110, December.
    4. Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP45/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    More about this item

    Keywords

    illegal behavior; experiments; partial identification; policing;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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