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Speeding, Punishment, and Recidivism: Evidence from a Regression Discontinuity Design

Listed author(s):
  • Gehrsitz, Markus

    ()

    (University of Strathclyde)

Registered author(s):

    This paper estimates the effects of temporary driver's license suspensions on driving behavior. A little known rule in the German traffic penalty catalogue maintains that drivers who commit a series of speeding transgressions within 365 days should have their license suspended for one month. My regression discontinuity design exploits the quasi-random assignment of license suspensions caused by the 365-days cut-off and shows that 1-month license suspensions lower the probability of recidivating within a year by 20 percent. This is largely a specific deterrence effect driven by the punishment itself and not by incapacitation, information asymmetries, or the threat of stiffer future penalties.

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    File URL: http://ftp.iza.org/dp10707.pdf
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    Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 10707.

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    Length: 54 pages
    Date of creation: Apr 2017
    Handle: RePEc:iza:izadps:dp10707
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    1. Kessler, Daniel P & Levitt, Steven D, 1999. "Using Sentence Enhancements to Distinguish between Deterrence and Incapacitation," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 343-363, April.
    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. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Rafael Di Tella & Ernesto Schargrodsky, 2013. "Criminal Recidivism after Prison and Electronic Monitoring," Journal of Political Economy, University of Chicago Press, vol. 121(1), pages 28-73.
    5. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‚ÄźDiscontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    6. Steven D. Levitt, 1996. "The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Litigation," The Quarterly Journal of Economics, Oxford University Press, vol. 111(2), pages 319-351.
    7. Francesco Drago & Roberto Galbiati & Pietro Vertova, 2009. "The Deterrent Effects of Prison: Evidence from a Natural Experiment," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 257-280, 04.
    8. Benjamin Hansen, 2015. "Punishment and Deterrence: Evidence from Drunk Driving," American Economic Review, American Economic Association, vol. 105(4), pages 1581-1617, April.
    9. Eric Helland & Alexander Tabarrok, 2007. "Does Three Strikes Deter?: A Nonparametric Estimation," Journal of Human Resources, University of Wisconsin Press, vol. 42(2).
    10. Anna Aizer & Joseph J. Doyle, 2015. "Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges," The Quarterly Journal of Economics, Oxford University Press, vol. 130(2), pages 759-803.
    11. Alessandro Barbarino & Giovanni Mastrobuoni, 2014. "The Incapacitation Effect of Incarceration: Evidence from Several Italian Collective Pardons," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 1-37, February.
    12. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1171, Princeton University, Department of Economics, Industrial Relations Section..
    13. McCrary, Justin & Lee, David S., 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Berkeley Olin Program in Law & Economics, Working Paper Series qt2gh1r30h, Berkeley Olin Program in Law & Economics.
    14. Gregory DeAngelo & Benjamin Hansen, 2014. "Life and Death in the Fast Lane: Police Enforcement and Traffic Fatalities," American Economic Journal: Economic Policy, American Economic Association, vol. 6(2), pages 231-257, May.
    15. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    16. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1168, Princeton University, Department of Economics, Center for Economic Policy Studies..
    17. Andrew Gelman & Guido Imbens, 2014. "Why High-order Polynomials Should not be Used in Regression Discontinuity Designs," NBER Working Papers 20405, National Bureau of Economic Research, Inc.
    18. repec:pri:cepsud:189lee is not listed on IDEAS
    19. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    20. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    21. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    22. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1171, Princeton University, Department of Economics, Industrial Relations Section..
    23. Daniel S. Nagin, 2013. "Deterrence: A Review of the Evidence by a Criminologist for Economists," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 83-105, May.
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