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Deterrence and Displacement in Auto Theft

Author

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  • Marco Gonzalez-Navarro

    (Princeton University)

Abstract

Lojack is a stolen vehicle tracking technology that achieves extremely high recovery rates. Ayres and Levitt (1998) show that introduction of the system produced large reductions in vehicle thefts in areas where it was implemented in the United States. The reduced theft risk was shared by all vehicle owners, not only those who bought Lojack. This paper, in contrast, uses the introduction of Lojack to a publicly known set of Ford car models in some Mexican states to show that Lojack generates negative externalities if thieves can distinguish between Lojack and non-Lojack-equipped cars. The empirical analysis suggests that, although Lojack-equipped vehicles experienced a reduction in theft risk of 55%, most of the averted thefts were replaced by thefts of non-Lojack-equipped automobiles in neighboring states. The increase in thefts in non Lojack-serviced states was especially strong for the same car models that in Lojack-serviced states were sold equipped with Lojack.

Suggested Citation

  • Marco Gonzalez-Navarro, 2008. "Deterrence and Displacement in Auto Theft," Working Papers 1098, Princeton University, Department of Economics, Center for Economic Policy Studies..
  • Handle: RePEc:pri:cepsud:177
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    References listed on IDEAS

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    1. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    2. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    4. Ian Ayres & Steven D. Levitt, 1998. "Measuring Positive Externalities from Unobservable Victim Precaution: An Empirical Analysis of Lojack," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 43-77.
    5. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    6. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
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    Cited by:

    1. Ross, Amanda, 2012. "Crime, police, and truth-in-sentencing: The impact of state sentencing policy on local communities," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 144-152.
    2. Philip J. Cook & John MacDonald, 2010. "The Role of Private Action in Controlling Crime," NBER Chapters, in: Controlling Crime: Strategies and Tradeoffs, pages 331-363, National Bureau of Economic Research, Inc.
    3. van der Weele Joël, 2012. "Beyond the State of Nature: Introducing Social Interactions in the Economic Model of Crime," Review of Law & Economics, De Gruyter, vol. 8(2), pages 401-432, October.

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    More about this item

    Keywords

    automobiles; United States;

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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