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Tanking,Shirking, and Running Dead: The Role of Economics and Large Data Sets in Identifying Competition Corruption and its Causes
Authors:Wray Vamplew
Institution:1. Sports Studies, University of Stirling, Stirling, Scotland;2. Academy of Sport, University of Edinburgh, Edinburgh, Scotland;3. Sport and Exercise Science, Manchester Metropolitan University, Manchester, Englandwray.vamplew@stir.ac.uk
Abstract:Abstract

This paper will offer an economic history perspective on match-fixing based on economic models which explain corruption as a rational decision-making process in which a potentially corrupt athlete weighs up various probabilities. Examples will be taken from sport worldwide including American college sports, NBA basketball, British horseracing, Australian Rules football, and sumo wrestling in Japan where large databases of actual results over time have allowed possible patterns of match-fixing (as opposed to individual instances) to be identified by the use of probability theory.
Keywords:Match-fixing  databases  economics  integrity  corruption
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