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Anti-Crime Programs: An Evaluation of the Comuna Segura Program

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Listed:
  • Jose Miguel Benavente
  • Dante Contreras
  • Rodrigo Montero

Abstract

The aim of this paper is to evaluate the impact that the anti-crime program Comuna Segura: Compromiso 100 had on the reporting rate of different types of crimes. This program, implemented in Chile starting in 2001, was very highly criticized and, therefore, was eliminated in 2006. This paper provides statistical evidence, using the impact assessment methodology, which shows that the program was successful in increasing the reporting rate in targeted municipalities and also in decreasing levels of crimes associated with other crimes, such as rape. All this underlies the importance of carrying out formal impact assessments in order to determine benefits that are associated with a particular program. However, financial issues are also very important too and it is necessary to take them in account when making a fair statement about the cost-effectiveness of the program. This point is, however, not addressed in this paper but should be kept in mind in order to have a complete picture of the program.

Suggested Citation

  • Jose Miguel Benavente & Dante Contreras & Rodrigo Montero, 2011. "Anti-Crime Programs: An Evaluation of the Comuna Segura Program," Estudios de Economia, University of Chile, Department of Economics, vol. 38(2 Year 20), pages 369-392, December.
    • Handle: RePEc:udc:esteco:v:38:y:2011:i:2:p:369-392
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    References listed on IDEAS

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    1. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    2. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    3. Fajnzylber, Pablo & Lederman, Daniel & Loayza, Norman, 2002. "Inequality and Violent Crime," Journal of Law and Economics, University of Chicago Press, vol. 45(1), pages 1-40, April.
    4. Rodrigo Vergara., 2009. "Crime Prevention Programs: Evidence for a Developing Country," Documentos de Trabajo 362, Instituto de Economia. Pontificia Universidad Católica de Chile..
    5. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    6. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    7. Javier Núñez & Jorge Rivera & Xavier Villavicencio & Oscar Molina, 2003. "Determinantes socioeconómicos y demográficos del crimen en Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 30(1 Year 20), pages 55-85, June.
    8. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    9. Heckman, James J & Smith, Jeffrey A, 1999. "The Pre-programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies," Economic Journal, Royal Economic Society, vol. 109(457), pages 313-348, July.
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    More about this item

    Keywords

    Crime; Program evaluation; Matching.;
    All these keywords.

    JEL classification:

    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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