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Do Surveillance Cameras Affect Unruly Behavior? A Close Look at Grandstands

Author

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  • Mikael Priks
Abstract
This paper studies how surveillance cameras affect unruly spectator behaviour in the highest Swedish soccer league. Swedish stadiums introduced surveillance cameras at different points in time during the years 2000 and 2001. I exploit the exogenous variation that occurred due to differences across stadiums in the processing time to get permits to use cameras as well as delays in the supply of the equipment. Conditioning on stadium fixed effects, I find that the unruly behavior was approximately 65 percent lower in stadiums with cameras compared to stadiums without. The natural experiment provides a unique possibility to address problems regarding endogeneity, simultaneous policy interventions and displacement effects.

Suggested Citation

  • Mikael Priks, 2008. "Do Surveillance Cameras Affect Unruly Behavior? A Close Look at Grandstands," CESifo Working Paper Series 2289, CESifo.
  • Handle: RePEc:ces:ceswps:_2289
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp2289.pdf
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    References listed on IDEAS

    as
    1. Mirko Draca & Stephen Machin & Robert Witt, 2011. "Panic on the Streets of London: Police, Crime, and the July 2005 Terror Attacks," American Economic Review, American Economic Association, vol. 101(5), pages 2157-2181, August.
    2. 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.
    3. Mikael Priks, 2015. "The Effects of Surveillance Cameras on Crime: Evidence from the Stockholm Subway," Economic Journal, Royal Economic Society, vol. 125(588), pages 289-305, November.
    4. Stephen Machin & Olivier Marie, 2011. "Crime And Police Resources: The Street Crime Initiative," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 678-701, August.
    5. 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.
    6. Nuno Garoupa, 1997. "The Theory of Optimal Law Enforcement," Journal of Economic Surveys, Wiley Blackwell, vol. 11(3), pages 267-295, September.
    7. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    8. Poutvaara, Panu & Priks, Mikael, 2009. "The effect of police intelligence on group violence: Evidence from reassignments in Sweden," Journal of Public Economics, Elsevier, vol. 93(3-4), pages 403-411, April.
    9. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. R. Todd Jewell & Rob Simmons & Stefan Szymanski, 2014. "Bad for Business? The Effects of Hooliganism on English Professional Football Clubs," Journal of Sports Economics, , vol. 15(5), pages 429-450, October.
    2. Ignacio Munyo & Martín A. Rossi, 2020. "Police‐Monitored Cameras and Crime," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(3), pages 1027-1044, July.
    3. Oana Borcan & Mikael Lindahl & Andreea Mitrut, 2017. "Fighting Corruption in Education: What Works and Who Benefits?," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 180-209, February.
    4. Nyberg, Sten & Priks, Mikael, 2017. "Public order and private payments: Evidence from the Swedish soccer league," Journal of Public Economics, Elsevier, vol. 153(C), pages 1-8.

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    More about this item

    Keywords

    surveillance cameras; crime; natural experiments;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General

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