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Crime, apprehension and clearance rates: Panel data evidence from Canadian provinces

Author

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  • Philip A. Curry
  • Anindya Sen
  • George Orlov

Abstract

The Becker ( ) model of crime establishes the importance of the probability of apprehension as a key factor in a rational individual's decision to commit a crime. In this respect, most empirical studies based on US data have relied on variation in the number of police officers to estimate the impact of the probability of apprehension or capture. We measure the probability of apprehension by clearance rates and study their effects on crime rates, employing a panel of Canadian provinces from 1986 to 2005. OLS, GMM, GLS and IV estimates yield statistically significant elasticities of clearance rates, ranging from 0.2 to 0.4 for violent crimes and from 0.5 to 0.6 for property crimes. These findings reflect the importance of police force crime-solving productivity.

Suggested Citation

  • Philip A. Curry & Anindya Sen & George Orlov, 2016. "Crime, apprehension and clearance rates: Panel data evidence from Canadian provinces," Canadian Journal of Economics, Canadian Economics Association, vol. 49(2), pages 481-514, May.
  • Handle: RePEc:cje:issued:v:49:y:2016:i:2:p:481-514
    DOI: 10.1111/caje.12204
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    Cited by:

    1. Canepa, Alessandra & Drogo, Federico, 2021. "Wildfire crime, apprehension and social vulnerability in Italy," Forest Policy and Economics, Elsevier, vol. 122(C).
    2. Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.

    More about this item

    JEL classification:

    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law

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