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

Author

Listed:
  • Markus Gehrsitz

    (Ph.D. Program in Economics, Graduate Center, CUNY)

Abstract

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 fuzzy regression discontinuity design exploits the quasi-random assignment of license suspensions caused by the 365-day cutoff and shows that 1-month license suspensions lower the probability of recidivating within a year by 20 percent. This effect is not driven by incapacitation and indicates that temporary license suspensions are an effective tool in preventing traffic transgressions.

Suggested Citation

  • Markus Gehrsitz, 2016. "Speeding, Punishment, and Recidivism - Evidence from a Regression Discontinuity Design," Working Papers 11, City University of New York Graduate Center, Ph.D. Program in Economics.
  • Handle: RePEc:cgc:wpaper:011
    as

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    File URL: http://wfs.gc.cuny.edu/Economics/RePEc/cgc/wpaper/CUNYGC-WP011.pdf
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    References listed on IDEAS

    as
    1. Jeffrey R. Kling, 2006. "Incarceration Length, Employment, and Earnings," American Economic Review, American Economic Association, vol. 96(3), pages 863-876, June.
    2. 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.
    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. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    6. Benjamin Hansen, 2015. "Punishment and Deterrence: Evidence from Drunk Driving," American Economic Review, American Economic Association, vol. 105(4), pages 1581-1617, April.
    7. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    8. 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.
    9. 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.
    10. Gary S. Becker & William M. Landes, 1974. "Essays in the Economics of Crime and Punishment," NBER Books, National Bureau of Economic Research, Inc, number beck74-1, May.
    11. 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, April.
    12. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    13. Eric Helland & Alexander Tabarrok, 2007. "Does Three Strikes Deter?: A Nonparametric Estimation," Journal of Human Resources, University of Wisconsin Press, vol. 42(2).
    14. 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.
    15. Levitt, Steven D. & Miles, Thomas J., 2007. "Empirical Study of Criminal Punishment," Handbook of Law and Economics, in: A. Mitchell Polinsky & Steven Shavell (ed.), Handbook of Law and Economics, edition 1, volume 1, chapter 7, pages 455-495, Elsevier.
    16. 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.
    17. 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.
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    More about this item

    Keywords

    Speeding; Recidivism; Punishment; Economics of Crime; Risky Behavior; Regression Discontinuity;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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