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A Partner in Crime: Assortative Matching and Bias in the Crime Market

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  • Gavrilova, Evelina

Abstract

In this paper I analyze partnership formation within the property crime market in the United States. I develop a static matching model, in which a criminal forms a partnership with a counterpart with the same probability of success. Using individual arrest data from the National Incident Based Reporting System, I pinpoint matches where the underlying ability of two partners differ. This difference in ability is correlated to observable characteristics, making the case for discrimination. By comparing the regression results to success means for the same demographic groups, I find patterns consistent with discrimination. Beside the patterns of gender and racial segregation, I find that in white-black matches, blacks outperform whites, consistent with success means. In male-female matches the female's success realization is higher than the male's, contrary to the difference in success means, where males on average outperform females, hinting at a distaste premium.

Suggested Citation

  • Gavrilova, Evelina, 2013. "A Partner in Crime: Assortative Matching and Bias in the Crime Market," MPRA Paper 50432, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:50432
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    References listed on IDEAS

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    Cited by:

    1. Nadia Campaniello, 2019. "Women in crime," IZA World of Labor, Institute of Labor Economics (IZA), pages 105-105, July.
    2. Liza Charroin, 2018. "Homophily, peer effects and dishonesty," Post-Print halshs-01993618, HAL.
    3. Charroin, Liza & Fortin, Bernard & Villeval, Marie Claire, 2022. "Peer effects, self-selection and dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 618-637.
    4. Campaniello, Nadia & Gavrilova, Evelina, 2018. "Uncovering the gender participation gap in crime," European Economic Review, Elsevier, vol. 109(C), pages 289-304.
    5. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03712450, HAL.
    6. Gavrilova, Evelina, 2021. "Females in Crime," MPRA Paper 105891, University Library of Munich, Germany.
    7. Arnaud Philippe, 2020. "Gender Disparities in Sentencing," Economica, London School of Economics and Political Science, vol. 87(348), pages 1037-1077, October.
    8. Gavrilova, Evelina & Campaniello, Nadia, 2015. "Uncovering the Gender Participation Gap in the Crime Market," IZA Discussion Papers 8982, Institute of Labor Economics (IZA).
    9. Burhan, Nik Ahmad Sufian & Sidek, Abdul Halim & Kurniawan, Yohan & Mohamad, Mohd Rosli, 2014. "Has Globalization Triggered Collective Impact of National Intelligence on Economic Growth?," MPRA Paper 77316, University Library of Munich, Germany.
    10. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Post-Print hal-03712450, HAL.

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    More about this item

    Keywords

    Assortative Matching; Bias; Crime; Discrimination; Organized Crime;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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