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Racial stereotypes and robbery

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  • O'Flaherty, Brendan
  • Sethi, Rajiv

Abstract

Robbery is a serious, widespread and sometimes violent crime resulting each year in costs to victims of several billion dollars. Data on the incidence of robbery reveals certain striking racial disparities. African-Americans are more likely to be victims, arrestees and prisoners than are members of other demographic groups, and while black-on-white robberies are very common, white-on-black robberies are extremely rare. The disparities for robbery are also much greater than those for other crimes of acquisition. We develop a model of robbery that attempts to address these and other stylized facts. Robberies are typically interactions between strangers that involve a sequence of rapid decisions with severely limited information. Potential offenders must assess the likelihood of victim resistance, and victims must assess the likelihood that resistance will be met with violence. Racial disparities in the distribution of income can cause such probability assessments to be race-contingent, affecting crime rates as well as rates of resistance and violence. We argue that this model helps account for several empirical regularities that appear puzzling from the perspective of alternative theories of crime.

Suggested Citation

  • O'Flaherty, Brendan & Sethi, Rajiv, 2008. "Racial stereotypes and robbery," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 511-524, December.
  • Handle: RePEc:eee:jeborg:v:68:y:2008:i:3-4:p:511-524
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    References listed on IDEAS

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    Cited by:

    1. Florent Dubois, 2017. "The Sources of Segregation," Working Papers halshs-01524506, HAL.
    2. Carlos Medina & Jorge Andrés Tamayo & Christian Posso, 2013. "The Effect of Adult Criminals’ Spillovers On the Likelihood of Youths Becoming Criminals," Borradores de Economia 755, Banco de la Republica de Colombia.
    3. Kecinski, Maik & Kerley Keisner, Deborah & Messer, Kent D. & Schulze, William D., 2016. "Stigma mitigation and the importance of redundant treatments," Journal of Economic Psychology, Elsevier, vol. 54(C), pages 44-52.
    4. O'Flaherty, Brendan & Sethi, Rajiv, 2010. "Homicide in black and white," Journal of Urban Economics, Elsevier, vol. 68(3), pages 215-230, November.
    5. DeAngelo, Gregory & Gittings, R Kaj & Alves Pena, Anita, 2018. "Interracial face-to-face crimes and the socioeconomics of neighborhoods: Evidence from policing records," International Review of Law and Economics, Elsevier, vol. 56(C), pages 1-13.
    6. Maik Kecinski & Deborah Kerley Keisner & Kent D. Messer & William D. Schulze, 2018. "Measuring Stigma: The Behavioral Implications of Disgust," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 131-146, May.
    7. Kim, Young Chul & Loury, Glenn, 2009. "Group Reputation and the Dynamics of Statistical Discrimination," MPRA Paper 18765, University Library of Munich, Germany.
    8. Yang, Dean & Allen, James & Mahumane, Arlete & Riddell, James & Yu, Hang, 2023. "Knowledge, stigma, and HIV testing: An analysis of a widespread HIV/AIDS program," Journal of Development Economics, Elsevier, vol. 160(C).
    9. Sergio Parra Cely & Clotilde Mahé, 2020. "Does Internal Displacement Affect Educational Achievement in Host Communities?," DEM Discussion Paper Series 20-05, Department of Economics at the University of Luxembourg.
    10. O'Flaherty, Brendan & Sethi, Rajiv, 2010. "The racial geography of street vice," Journal of Urban Economics, Elsevier, vol. 67(3), pages 270-286, May.
    11. Carlos Medina & Jorge Andrés Tamayo & Christian Posso, 2013. "The Effect of Adult Criminals´ Spillovers On the Likelihood of Youths Becoming Criminals," Borradores de Economia 10461, Banco de la Republica.
    12. O’Flaherty, Brendan & Sethi, Rajiv, 2015. "Urban Crime," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1519-1621, Elsevier.

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