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Bias in the Legal Profession: Self-Assessed versus Statistical Measures of Discrimination

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  • Heather Antecol
  • Deborah A. Cobb-Clark
  • Eric Helland

Abstract

Legal cases are won or lost on the basis of statistical discrimination measures, but workers' perceptions of discriminatory behavior are important for understanding labor supply decisions. Workers who believe that they have been discriminated against are more likely to leave their employers, and workers' perceptions of discrimination likely drive formal complaints to the Equal Employment Opportunity Commission. Yet the relationship between statistical and self-assessed measures of discrimination is far from obvious. We expand on the previous literature by using data from the After the J.D. study to compare standard Blinder-Oaxaca measures of earnings discrimination to self-reported measures of client discrimination, other work-related discrimination, and harassment. Our results indicate that conventional measures of earnings discrimination are not closely linked to the racial and gender bias that new lawyers believe they have experienced on the job. Moreover, statistical earnings discrimination does not explain the disparity in self-assessed bias across gender and racial groups.

Suggested Citation

  • Heather Antecol & Deborah A. Cobb-Clark & Eric Helland, 2014. "Bias in the Legal Profession: Self-Assessed versus Statistical Measures of Discrimination," The Journal of Legal Studies, University of Chicago Press, vol. 43(2), pages 323-357.
  • Handle: RePEc:ucp:jlstud:doi:10.1086/677299
    DOI: 10.1086/677299
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    Cited by:

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    2. Anthony Rafferty, 2020. "Skill Underutilization and Under-Skilling in Europe: The Role of Workplace Discrimination," Work, Employment & Society, British Sociological Association, vol. 34(2), pages 317-335, April.
    3. Alan Duncan & Astghik Mavisakalyan & Yashar Tarverdi, 2016. "Self-assessed versus statistical evidence of labour market discrimination: The case of indigenous Australians," WIDER Working Paper Series wp-2016-70, World Institute for Development Economic Research (UNU-WIDER).
    4. Alan Duncan & Astghik Mavisakalyan & Yashar Taverdi, 2016. "Self-assessed versus statistical evidence of labour market discrimination," Bankwest Curtin Economics Centre Working Paper series WP1602, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    5. Roger Wilkins & Markus Hahn, 2013. "Perceived Job Discrimination in Australia - Its Correlates and Consequences," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 16(1), pages 43-64.
    6. Alan Duncan & Astghik Mavisakalyan & Yashar Tarverdi, 2016. "Self-assessed versus statistical evidence of labour market discrimination: The case of indigenous Australians," WIDER Working Paper Series 070, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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