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Racial Discrimination and Statistical Discrimination: MLB Rookie Card Values and Performance Uncertainty

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  • Gregory S. Burge
  • Arthur Zillante

Abstract

Objective While previous studies document racial discrimination in Major League Baseball, few have considered statistical discrimination, and how racial bias may spill over into related markets. Investigating rookie card (RC) values at their initial release, we exploit the role of information uncertainty to separately identify the influence of racial discrimination and statistical discrimination. Methods Using ordinary least squares (OLS) and Tobit models, we examine 6,026 cards released from 1986 to 1993. After documenting race†based differentials in MLB achievement, we explore the determinants of prices in certain and uncertain environments. Results RCs of black players carry a 14–20 percent premium at their initial release. Race does not influence card values once careers are finished. Finally, given comparable career performance, prices for black players decline significantly more over time. Collectively, this suggests statistical discrimination influences consumers in this market. Conclusion Racial discrimination in an upstream market can lead to spillover effects on related downstream markets.

Suggested Citation

  • Gregory S. Burge & Arthur Zillante, 2017. "Racial Discrimination and Statistical Discrimination: MLB Rookie Card Values and Performance Uncertainty," Social Science Quarterly, Southwestern Social Science Association, vol. 98(5), pages 1435-1455, November.
    • Handle: RePEc:bla:socsci:v:98:y:2017:i:5:p:1435-1455
    DOI: 10.1111/ssqu.12330
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    Cited by:

    1. Nguyen, Jeremy K., 2022. "Racial discrimination in non-fungible token (NFT) prices? CryptoPunk sales and skin tone," Economics Letters, Elsevier, vol. 218(C).

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