Statistical Discrimination or Prejudice? A Large Sample Field Experiment

Michael Ewens, Bryan Tomlin and Liang Wang

No 2012-E37, GSIA Working Papers from Carnegie Mellon University, Tepper School of Business

Abstract: A model of racial discrimination provides testable implications for two features of statistical discriminators: differential treatment of signals by race and heterogeneous experience that shapes perception. We construct an experiment in the U.S. rental apartment market that distinguishes statistical discrimination from taste-based discrimination. Responses from over 14,000 rental inquiries with varying applicant quality show that landlords treat identical information from applicants with African-American and white sounding names differently. This differential treatment varies by neighborhood racial composition and signal type in a way consistent with statistical discrimination and in contrast to patterns predicted by a model of taste-based discrimination.

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Related works:
Journal Article: Statistical Discrimination or Prejudice? A Large Sample Field Experiment (2014)
Working Paper: Statistical Discrimination or Prejudice? A Large Sample Field Experiment (2012)
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