The Determinants of Punishment: Deterrence, Incapacitation and Vengeance
Does the economic model of optimal punishment explain the variation in the sentencing of murderers? As the model predicts, we find that murderers with a high expected probability of recidivism receive longer sentences. Sentences are longest in murder types where apprehension rates are low, and where deterrence elasticities appear to be high. However, sentences respond to victim characteristics in a way that is hard to reconcile with optimal punishment. In particular, victim characteristics are important determinants of sentencing among vehicular homicides, where victims are basically random and where the optimal punishment model predicts that victim characteristics should be ignored. Among vehicular homicides, drivers who kill women get 56 percent longer sentences. Drivers who kill blacks get 53 percent shorter sentences.
|Date of creation:||Apr 2000|
|Date of revision:|
|Publication status:||published as Sacerdote, Bruce and Edward Glaeser. "Vengeance, Deterrence, and Incapacitation." The Journal of Legal Studies 32, 2 (June 2003).|
|Contact details of provider:|| Postal: |
Web page: http://www.nber.org
More information through EDIRC
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.:
- George J. Stigler, 1974.
"The Optimum Enforcement of Laws,"
in: Essays in the Economics of Crime and Punishment, pages 55-67
National Bureau of Economic Research, Inc.
- Steven D. Levitt, 1995.
"Using Electoral Cycles in Police Hiring to Estimate the Effect of Policeon Crime,"
NBER Working Papers
4991, National Bureau of Economic Research, Inc.
- Levitt, Steven D, 1997. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime," American Economic Review, American Economic Association, vol. 87(3), pages 270-90, June.
When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:7676. 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: ()
If references are entirely missing, you can add them using this form.