Racial Profiling? Detecting Bias Using Statistical Evidence
AbstractWe review the economics literature that deals with identifying bias, or taste for discrimination, using statistical evidence. A unified model is developed that encompasses several different strategies studied in the literature. We also discuss certain more theoretical questions concerning the proper objective of discrimination law.
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Bibliographic InfoArticle provided by Annual Reviews in its journal Annual Review of Economics.
Volume (Year): 1 (2009)
Issue (Month): 1 (05)
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Find related papers by JEL classification:
- J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
- J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
- K31 - Law and Economics - - Other Substantive Areas of Law - - - Labor Law
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- Dragan Ilić, 2013. "Marginally discriminated: the role of outcome tests in European jurisdiction," European Journal of Law and Economics, Springer, vol. 36(2), pages 271-294, October.
- Bhattacharya, Debopam, 2013.
"Evaluating treatment protocols using data combination,"
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- Brock, William A. & Cooley, Jane & Durlauf, Steven N. & Navarro, Salvador, 2012. "On the observational implications of taste-based discrimination in racial profiling," Journal of Econometrics, Elsevier, vol. 166(1), pages 66-78.
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