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To discriminate or not to discriminate -- Is data aggregation the question?

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  • Kevin Mongeon
  • Ron Mittelhammer

Abstract

Previous professional sports discrimination studies rely heavily on aggregated data to the game level and therefore do not control for unobservable within game heterogeneity. This article uses an established testing methodology for assessing discrimination among professional sports adjudicators and compares inferences when data are and are not aggregated above an influential factor that affects within game foul/penalty rates. Substantial differences in conclusions are found suggesting that a number of inferences in the literature relating to discrimination in various contexts may be fragile. The issue and findings have potential relevance to a wide range of related studies.

Suggested Citation

  • Kevin Mongeon & Ron Mittelhammer, 2013. "To discriminate or not to discriminate -- Is data aggregation the question?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1485-1490, November.
  • Handle: RePEc:taf:apeclt:v:20:y:2013:i:16:p:1485-1490
    DOI: 10.1080/13504851.2013.826867
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    Cited by:

    1. Kevin Mongeon, 2015. "A Market Test for Ethnic Discrimination in the National Hockey League," Journal of Sports Economics, , vol. 16(5), pages 460-481, June.

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