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date: 21 September 2020

Abstract and Keywords

This article presents an extensive discussion of stochastic frontier “effects” models, which analyze factors influencing efficiency. The recent literature on team sports efficiency is also addressed. It offers an overview of the stochastic frontier model and equations for general models. It then compares various models that may be useful in analyses of determinants of efficiency and the effects models. The methodologies for inference within team efficiency estimation are explained. Additionally, a more detailed discussion of frontier models with time-varying efficiency is shown. The confidence interval from the percentile bootstrap should be precise enough for panel data with sufficiently large time-series observations because a bias problem is less likely. The discussion of the selection of input variables revealed that team playing talents can be decomposed into positional playing talents that have different roles in the process of producing output (producing wins).

Keywords: stochastic frontier models, bias, team sports efficiency, effects models, efficiency

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