Research Notes: Measuring Parity

Louis P. Cain and David D. Haddock
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Louis P. Cain: Loyola University and Northwestern University
David D. Haddock: Northwestern University

Journal of Sports Economics, 2006, vol. 7, issue 3, 330-338

Abstract: We present a metric to calculate the idealized standard deviation (ISD) in the event that ties are possible and receive points in team-sport league standings. Our aim is to raise some issues regarding the customary application of that concept in leagues that do not employ a binomial system for determining rankings, to suggest that the reciprocal of the ISD may be a more intuitive construct if the intent is to represent parity, to provide scholars with a set of ISDs, and to suggest some interesting topics that arise from a quick perusal of the time series.

Keywords: idealized standard deviation; parity; Major League Baseball; English Football League (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jospec:v:7:y:2006:i:3:p:330-338

DOI: 10.1177/1527002504272937

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