Using Forecasting to Detect Corruption in International Football
Corruption is hidden action aimed at influencing the outcome of an event away from its competitive outcome. It is likely common in all walks of life yet its hidden nature makes it diffcult to detect, while its distortionary influence on resource allocation ensures the importance of trying to detect it both practically and economically. This paper further develops methods to detect corrupt activity using data from 63 bookmakers covering over 9,000 international football matches since 2004, in particular assessing a claim made in early 2013 by Europol that the outcomes of almost 300 international matches since 2009 were fixed. We explore the divergence between two kinds of forecasts of match outcomes: those by bookmakers, and those constructed by econometric models. We argue that in the absence of corrupt activity to fix outcomes these two forecasts should be indistinguishable as they are based on the same information sets, and hence any divergence between the two may be indicative of corrupt activity to fix matches. In the absence of corroborating evidence we cannot declare any evidence procured in our manner as conclusive regarding the existence or otherwise of corruption, but nonetheless we argue that is it indicative. We conclude that there is mild evidence regarding potentially corrupt outcomes, and we also point towards yet more advanced strategies for its detection.
|Date of creation:||May 2013|
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- Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
- Justin Wolfers & Eric Zitzewitz, 2006.
"Interpreting Prediction Market Prices as Probabilities,"
NBER Working Papers
12200, National Bureau of Economic Research, Inc.
- Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," IZA Discussion Papers 2092, Institute for the Study of Labor (IZA).
- Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," CEPR Discussion Papers 5676, C.E.P.R. Discussion Papers.
- Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting prediction market prices as probabilities," Working Paper Series 2006-11, Federal Reserve Bank of San Francisco.
- Charles F. Manski, 2004.
"Interpreting the Predictions of Prediction Markets,"
NBER Working Papers
10359, National Bureau of Economic Research, Inc.
- Manski, Charles F., 2006. "Interpreting the predictions of prediction markets," Economics Letters, Elsevier, vol. 91(3), pages 425-429, June.
- Gary S. Becker, 1968.
"Crime and Punishment: An Economic Approach,"
Journal of Political Economy,
University of Chicago Press, vol. 76, pages 169.
- Preston, Ian & Szymanski, Stefan, 2000. "Racial Discrimination in English Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 342-63, September.
- Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
- Olmo, Jose & Pilbeam, Keith & Pouliot, William, 2011. "Detecting the presence of insider trading via structural break tests," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2820-2828, November.
- Goddard, John, 2005. "Regression models for forecasting goals and match results in association football," International Journal of Forecasting, Elsevier, vol. 21(2), pages 331-340.
- Justin Wolfers, 2006. "Point Shaving: Corruption in NCAA Basketball," American Economic Review, American Economic Association, vol. 96(2), pages 279-283, May.
- Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.
- Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.
- Stefani Ray & Pollard Richard, 2007. "Football Rating Systems for Top-Level Competition: A Critical Survey," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(3), pages 1-22, July.
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