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Aggregation bias in the economic model of crime

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  • Cherry, Todd L.
  • List, John A.

Abstract

This paper uses county-level panel data to test the appropriateness of the 'one size fits all' reduced-form regression approach commonly used when estimating the economic model of crime. Empirical results provide initial evidence that previous studies, which restrict deterrent effects to have identical impacts across crime types, may be presenting statistically biased results.
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Suggested Citation

  • Cherry, Todd L. & List, John A., 2002. "Aggregation bias in the economic model of crime," Economics Letters, Elsevier, vol. 75(1), pages 81-86, March.
    • Handle: RePEc:eee:ecolet:v:75:y:2002:i:1:p:81-86
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    1. 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.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Sjoquist, David Lawrence, 1973. "Property Crime and Economic Behavior: Some Empirical Results," American Economic Review, American Economic Association, vol. 63(3), pages 439-446, June.
    4. Kenneth L. Avio & C. Scott Clark, 1978. "The Supply of Property Offences in Ontario: Evidence on the Deterrent Effect of Punishment," Canadian Journal of Economics, Canadian Economics Association, vol. 11(1), pages 1-19, February.
    5. Mathur, Vijay K, 1978. "Economics of Crime: An Investigation of the Deterrent Hypothesis for Urban Areas," The Review of Economics and Statistics, MIT Press, vol. 60(3), pages 459-466, August.
    6. Cornwell, Christopher & Trumbull, William N, 1994. "Estimating the Economic Model of Crime with Panel Data," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 360-366, May.
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