Racial Bias in Expert Quality Assessment: A Study of Newspaper Movie Reviews
Cornell University - Samuel Curtis Johnson Graduate School of Management
Indiana University - Kelley School of Business
October 6, 2009
Johnson School Research Paper Series No. 7-2010
Newspaper critics' movie reviews are often used by potential movie viewers as signals of expert quality assessment. We investigate the existence and revenue impact of racial bias in these reviews. Using an expansive, novel dataset spanning 2003-2007, we find ratings for movies with a black lead actor and all white supporting cast are approximately 6% lower than for other racial compositions. These findings appear consistent with implicit discrimination, and result in an average revenue loss of up to 4%, or $2.57 million, per movie. Robustness checks show it is unlikely these results are driven by unobserved heterogeneity or random correlations.
Number of Pages in PDF File: 39
Keywords: racial bias, quality assessment, expert ratings, movies, implicit discriminationAccepted Paper Series
Date posted: October 10, 2009 ; Last revised: November 22, 2011
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