Bias in the Legal Profession

Self-Assessed Versus Statistical Measures of Discrimination

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

ResearchPosted on rand.org Dec 11, 2020Published in: The Journal of Legal Studies, Volume 43, Number 2, pages 323–357 (June 2014). doi: 10.1086/677299

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.

Topics

Document Details

  • Publisher: The University of Chicago Press Journals
  • Availability: Non-RAND
  • Year: 2014
  • Pages: 35
  • Document Number: EP-68376

Research conducted by

This publication is part of the RAND external publication series. Many RAND studies are published in peer-reviewed scholarly journals, as chapters in commercial books, or as documents published by other organizations.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.