IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/28213.html
   My bibliography  Save this paper

Crime and Punishment Revisited

Author

Listed:
  • Kelaher, Richard
  • Sarafidis, Vasilis

Abstract

Despite an abundance of empirical evidence on crime spanning over forty years, there exists no consensus on the impact of the criminal justice system on crime activity. We argue that this may be due to the combined effect of simultaneity, omitted variable bias and aggregation bias that may confound many of these studies. We construct a new panel data set of local government areas in Australia and develop a testing framework for the implications of economic theory on crime behaviour. The empirical results suggest that the criminal justice system can potentially exert a much greater influence on crime activity than is the common view in the literature. In addition, we find that increasing the risk of apprehension and conviction is more influential in reducing crime than raising the expected severity of punishment. Violent crime is more persistent and relatively less responsive to law enforcement policies compared to non-violent crime.

Suggested Citation

  • Kelaher, Richard & Sarafidis, Vasilis, 2011. "Crime and Punishment Revisited," MPRA Paper 28213, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:28213
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/28213/1/MPRA_paper_28213.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carr-Hill, R. A. & Stern, N. H., 1973. "An econometric model of the supply and control of recorded offences in England and Wales," Journal of Public Economics, Elsevier, vol. 2(4), pages 289-318.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Steven D. Levitt, 2002. "Using Electoral Cycles in Police Hiring to Estimate the Effects of Police on Crime: Reply," American Economic Review, American Economic Association, vol. 92(4), pages 1244-1250, September.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    6. 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.
    7. Steven D. Levitt, 1996. "The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Litigation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 319-351.
    8. 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 267-279, April.
    9. Glenn Withers, 1984. "Crime, Punishment and Deterrence in Australia: An Empirical Investigation," The Economic Record, The Economic Society of Australia, vol. 60(2), pages 176-185, June.
    10. Fajnzylber, Pablo & Lederman, Daniel & Loayza, Norman, 2002. "What causes violent crime?," European Economic Review, Elsevier, vol. 46(7), pages 1323-1357, July.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Steven N. Durlauf & Daniel S. Nagin, 2010. "The Deterrent Effect of Imprisonment," NBER Chapters, in: Controlling Crime: Strategies and Tradeoffs, pages 43-94, National Bureau of Economic Research, Inc.
    13. 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.
    14. repec:bla:ecorec:v:60:y:1984:i:169:p:176-85 is not listed on IDEAS
    15. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    16. Angela K. Dills & Jeffrey A. Miron & Garrett Summers, 2010. "What Do Economists Know about Crime?," NBER Chapters, in: The Economics of Crime: Lessons For and From Latin America, pages 269-302, National Bureau of Economic Research, Inc.
    17. Ehrlich, Isaac, 1975. "The Deterrent Effect of Capital Punishment: A Question of Life and Death," American Economic Review, American Economic Association, vol. 65(3), pages 397-417, June.
    18. H. Naci Mocan & Hope Corman, 2000. "A Time-Series Analysis of Crime, Deterrence, and Drug Abuse in New York City," American Economic Review, American Economic Association, vol. 90(3), pages 584-604, June.
    19. 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 270-290, June.
    20. 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.
    21. David B. Mustard, 2003. "Reexamining Criminal Behavior: The Importance of Omitted Variable Bias," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 205-211, February.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-565, May-June.
    24. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cerro, Ana María & Ortega, Ana Carolina, 2012. "Sources of Regional Crime Persistence Argentina 1980-2008," MPRA Paper 44482, University Library of Munich, Germany.
    2. Maurice J.G. Bun, 2014. "Identifying the impact of deterrence on crime - internal versus external instruments," UvA-Econometrics Working Papers 14-03, Universiteit van Amsterdam, Dept. of Econometrics.
    3. Eugene Braslavskiy & Firmin Doko Tchatoka & Virginie Masson, 2019. "The Importance Of Punishment Substitutability In Criminometric Studies," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 491-507, July.
    4. repec:wsr:wpaper:y:2013:i:106 is not listed on IDEAS
    5. Neanidis, Kyriakos C. & Papadopoulou, Vea, 2013. "Crime, fertility, and economic growth: Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 91(C), pages 101-121.
    6. Lau, Evan & Hamzah, Siti Nur Zahara, 2012. "Crimonometric Analysis: Testing the Deterrence Hypothesis in Sabah," MPRA Paper 39297, University Library of Munich, Germany.
    7. Rosalia Condorelli, 2013. "Applied nonlinear dynamical system in social science. A nonlinear model for social control system: an application to Italian coercion system," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1173-1198, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maurice J. G. Bun & Richard Kelaher & Vasilis Sarafidis & Don Weatherburn, 2020. "Crime, deterrence and punishment revisited," Empirical Economics, Springer, vol. 59(5), pages 2303-2333, November.
    2. Eugene Braslavskiy & Firmin Doko Tchatoka & Virginie Masson, 2019. "The Importance Of Punishment Substitutability In Criminometric Studies," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 491-507, July.
    3. Philip A. Curry & Anindya Sen & George Orlov, 2016. "Crime, apprehension and clearance rates: Panel data evidence from Canadian provinces," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(2), pages 481-514, May.
    4. Entorf, Horst, 2012. "Certainty and Severity of Sanctions in Classical and Behavioral Models of Deterrence: A Survey," IZA Discussion Papers 6516, Institute of Labor Economics (IZA).
    5. Neanidis, Kyriakos C. & Papadopoulou, Vea, 2013. "Crime, fertility, and economic growth: Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 91(C), pages 101-121.
    6. Maurice J.G. Bun, 2014. "Identifying the impact of deterrence on crime - internal versus external instruments," UvA-Econometrics Working Papers 14-03, Universiteit van Amsterdam, Dept. of Econometrics.
    7. Horst Entorf & Hannes Spengler, 2015. "Crime, prosecutors, and the certainty of conviction," European Journal of Law and Economics, Springer, vol. 39(1), pages 167-201, February.
    8. Horst Entorf & Hannes Spengler, 2008. "Is Being 'Soft on Crime' the Solution to Rising Crime Rates?: Evidence from Germany," Discussion Papers of DIW Berlin 837, DIW Berlin, German Institute for Economic Research.
    9. Steven N. Durlauf & Daniel S. Nagin, 2010. "The Deterrent Effect of Imprisonment," NBER Chapters, in: Controlling Crime: Strategies and Tradeoffs, pages 43-94, National Bureau of Economic Research, Inc.
    10. Guido Travaglini, 2003. "Property Crime and Law Enforcement in Italy. A Regional Panel Analysis 1980-95," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 62(2), pages 211-240, October.
    11. Edinaldo Tebaldi & Erik Alda, 2017. "Quality of Institutions and Violence Incidence: a Cross-Country Analysis," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(3), pages 365-384, September.
    12. Mojtaba Ghasemi, 2017. "Crime and punishment: evidence from dynamic panel data model for North Carolina (2003–2012)," Empirical Economics, Springer, vol. 52(2), pages 723-730, March.
    13. Fajnzylber, Pablo & Lederman, Daniel & Loayza, Norman, 2002. "What causes violent crime?," European Economic Review, Elsevier, vol. 46(7), pages 1323-1357, July.
    14. Hak Yeung & Jürgen Huber, 2022. "Further Evidence on China’s B&R Impact on Host Countries’ Quality of Institutions," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    15. Biagi, Bianca & Brandono, Maria Giovanna & Detotto, Claudio, 2012. "The effect of tourism on crime in Italy: A dynamic panel approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-24.
    16. Benzaim, Samia & Ftiti, Zied & Khedhaouria, Anis & Djermane, Rebai, 2023. "US foreign investments: Technology transfer, relative backwardness, and the productivity growth of host countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 275-295.
    17. Eide, Erling & Rubin, Paul H. & Shepherd, Joanna M., 2006. "Economics of Crime," Foundations and Trends(R) in Microeconomics, now publishers, vol. 2(3), pages 205-279, December.
    18. Angela K. Dills & Jeffrey A. Miron & Garrett Summers, 2010. "What Do Economists Know about Crime?," NBER Chapters, in: The Economics of Crime: Lessons For and From Latin America, pages 269-302, National Bureau of Economic Research, Inc.
    19. Jeffrey Kouton & Rafiou R. Bétila & Moïse Lawin, 2021. "The Impact of ICT Development on Health Outcomes in Africa: Does Economic Freedom Matter?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 1830-1869, December.
    20. Mastrobuoni, Giovanni, 2019. "Police disruption and performance: Evidence from recurrent redeployments within a city," Journal of Public Economics, Elsevier, vol. 176(C), pages 18-31.

    More about this item

    Keywords

    Crime; deterrence; simultaneity; omitted variable bias; aggregation bias; panel data; GMM.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:28213. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.