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Beating thy Neighbor: Derby Effects in German Professional Soccer

Author

Listed:
  • Bäker Agnes

    (Eberhard Karls University Tübingen, Faculty of Economics and Social Sciences, Nauklerstr. 47, 72074 Tübingen, Germany)

  • Mechtel Mario

    (Eberhard Karls University Tübingen and IAAEG Trier, Behringstr., 54286 Trier, Germany)

  • Vetter Karin

    (Eberhard Karls University Tübingen, Faculty of Economics and Social Sciences, Nauklerstr. 47, 72074 Tübingen, Germany)

Abstract

It is widely acknowledged that derbies between two teams from the same city or region catch more public attention than “normal” soccer matches. Terms such as “Old Firm” (Rangers vs. Celtic), “Merseyside” (Liverpool FC vs. Everton FC), “Superclásico” (Boca Juniors vs. River Plate), and “Revierderby” (Dortmund vs. Schalke) are well-known even to people outside their respective countries of origin. Using data from the German Bundesliga from 1999 to 2009, we test whether derbies differ from other soccer matches with respect to the number of goals scored by each team, match results, and referee evaluations. The results are very surprising given the enormous amount of public attention that derbies with their special character attract: we find that there are no significant differences between derbies and “normal” matches. Despite the importance of derbies for fans and the public, they turn out to be “normal” soccer matches in all other respects.

Suggested Citation

  • Bäker Agnes & Mechtel Mario & Vetter Karin, 2012. "Beating thy Neighbor: Derby Effects in German Professional Soccer," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 224-246, June.
    • Handle: RePEc:jns:jbstat:v:232:y:2012:i:3:p:224-246
    DOI: 10.1515/jbnst-2012-0304
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    1. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Mario Mechtel & Agnes Bäker & Tobias Brändle & Karin Vetter, 2011. "Red Cards," Journal of Sports Economics, , vol. 12(6), pages 621-646, December.
    4. Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2007. "Gender differences in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 895-909, September.
    5. Caliendo, Marco & Radic, Dubravko, 2006. "Ten Do It Better, Do They? An Empirical Analysis of an Old Football Myth," IZA Discussion Papers 2158, Institute of Labor Economics (IZA).
    6. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    7. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    8. Fiona Carmichael & Dennis Thomas, 2005. "Home-Field Effect and Team Performance," Journal of Sports Economics, , vol. 6(3), pages 264-281, August.
    9. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    10. Fiona Carmichael & Dennis Thomas & Robert Ward, 2001. "Production and Efficiency in Association Football," Journal of Sports Economics, , vol. 2(3), pages 228-243, August.
    11. M. J. Maher, 1982. "Modelling association football scores," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 36(3), pages 109-118, September.
    12. Babatunde Buraimo & David Forrest & Robert Simmons, 2010. "The 12th man?: refereeing bias in English and German soccer," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 431-449, April.
    13. Audas, Rick & Dobson, Stephen & Goddard, John, 2002. "The impact of managerial change on team performance in professional sports," Journal of Economics and Business, Elsevier, vol. 54(6), pages 633-650.
    14. Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1353-1363.
    15. 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.
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    2. Stijn Baert & Simon Amez, 2018. "No better moment to score a goal than just before half time? A soccer myth statistically tested," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    3. Brian P. Soebbing & Pamela Wicker & Daniel Weimar & Johannes Orlowski, 2021. "How do Bookmakers Interpret Running Performance of Teams in Previous Games? Evidence From the Football Bundesliga," Journal of Sports Economics, , vol. 22(3), pages 231-250, April.
    4. Daniel Weimar & Pamela Wicker, 2017. "Moneyball Revisited," Journal of Sports Economics, , vol. 18(2), pages 140-161, February.
    5. Inna Zaytseva & Daniil Shaposhnikov, 2020. "Moneyball In Offensive Vs Defensive Actions In Soccer," HSE Working papers WP BRP 223/EC/2020, National Research University Higher School of Economics.

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