IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

The Deterrence Effect of Prison: Dynamic Theory and Evidence

  • David S. Lee

    (Princeton University and NBER)

  • Justin McCrary

    (Princeton University and NBER)

Registered author(s):

    Using administrative, longitudinal data on felony arrests in Florida, we exploit the doscontinous increase in the punitiveness of criminal sanctions at 18 to estimate the deterence effect of incarceration. Our analysis suggests a 2 percent decline in the logodds of offending at 18, with a standard errors ruling out declines of 11 percent or more. We interpret these magnitudes using a stochastic dynamic extension of Becker's (1968) model of criminal behavior. Calibrating the model to match key empirical moments, we conclude that deterrence elasticities with respect to sentence lengths are no more negitive than -0.13 for young offenders.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://arks.princeton.edu/ark:/88435/dsp019k41zd51c
    Download Restriction: no

    Paper provided by Princeton University, Department of Economics, Industrial Relations Section. in its series Working Papers with number 1171.

    as
    in new window

    Length:
    Date of creation: Aug 2009
    Date of revision:
    Handle: RePEc:pri:indrel:dsp019k41zd51c
    Contact details of provider: Postal:
    Firestone Library, Princeton, New Jersey 08544-2098

    Phone: 609 258-4041
    Fax: 609 258-2907
    Web page: http://www.irs.princeton.edu/
    Email:


    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Klick, Jonathan & Tabarrok, Alexander, 2005. "Using Terror Alert Levels to Estimate the Effect of Police on Crime," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 267-79, April.
    2. Jerome Adda & Russell W. Cooper, 2003. "Dynamic Economics: Quantitative Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012014, March.
    3. Randi Hjalmarsson, 2009. "Juvenile Jails: A Path to the Straight and Narrow or to Hardened Criminality?," Journal of Law and Economics, University of Chicago Press, vol. 52(4), pages 779-809, November.
    4. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    5. Lance Lochner, 2004. "Education, Work, And Crime: A Human Capital Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 811-843, 08.
    6. Jeffrey R. Kling & Jens Ludwig & Lawrence F. Katz, 2004. "Neighborhood Effects on Crime for Female and Male Youth: Evidence from a Randomized Housing Voucher Experiment," NBER Working Papers 10777, National Bureau of Economic Research, Inc.
    7. Ilyana Kuziemko, 2007. "Going Off Parole: How the Elimination of Discretionary Prison Release Affects the Social Cost of Crime," NBER Working Papers 13380, National Bureau of Economic Research, Inc.
    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. Evans, William N. & Owens, Emily G., 2007. "COPS and crime," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 181-201, February.
    10. Case, A.C. & Katz, L.F., 1991. "The Company You Keep: The Effects Of Family And Neighborhood On Disadvantaged Younths," Harvard Institute of Economic Research Working Papers 1555, Harvard - Institute of Economic Research.
    11. Lars Ljungqvist & Thomas J. Sargent, 2004. "Recursive Macroeconomic Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026212274x, March.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:pri:indrel:dsp019k41zd51c. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bobray Bordelon)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.