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Economic development as major determinant of Olympic medal wins: predicting performances of Russian and Chinese teams at Sochi Games

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  • Wladimir Andreff

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Econometric modelling of Winter Olympic Games to explain sporting outcomes with economic variables, then predicting the medal distribution at the next Games, Sochi 2014.

Suggested Citation

  • Wladimir Andreff, 2013. "Economic development as major determinant of Olympic medal wins: predicting performances of Russian and Chinese teams at Sochi Games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00971788, HAL.
    • Handle: RePEc:hal:cesptp:halshs-00971788
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00971788
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    References listed on IDEAS

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    1. Forrest, David & Sanz, Ismael & Tena, J.D., 2010. "Forecasting national team medal totals at the Summer Olympic Games," International Journal of Forecasting, Elsevier, vol. 26(3), pages 576-588, July.
    2. Jiang, Minghua & Xu, Lixin Colin, 2005. "Medals in transition: explaining medal performance and inequality of Chinese provinces," Journal of Comparative Economics, Elsevier, vol. 33(1), pages 158-172, March.
    3. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
    4. Wladimir Andreff, 2001. "The Correlation between Economic Underdevelopment and Sport," Post-Print halshs-00274657, HAL.
    5. Wolfgang Maennig & Andrew Zimbalist (ed.), 2012. "International Handbook on the Economics of Mega Sporting Events," Books, Edward Elgar Publishing, number 14313.
    6. Daniel K. N. Johnson & Ayfer Ali, 2004. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 85(4), pages 974-993, December.
    7. Pfau, Wade Donald, 2006. "Predicting the Medal Wins by Country at the 2006 Winter Olympic Games: An Econometrics Approach," MPRA Paper 18829, University Library of Munich, Germany.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Johan Rewilak, 2021. "The (non) determinants of Olympic success," Journal of Sports Economics, , vol. 22(5), pages 546-570, June.
    2. Pedro Garcia‐del‐Barrio & Carlos Gomez‐Gonzalez & José Manuel Sánchez‐Santos, 2020. "Popularity and Visibility Appraisals for Computing Olympic Medal Rankings," Social Science Quarterly, Southwestern Social Science Association, vol. 101(5), pages 2137-2157, September.
    3. Marcus Noland, 2016. "Russian Doping in Sports," Working Paper Series WP16-4, Peterson Institute for International Economics.
    4. Marcus Noland & Kevin Stahler, 2016. "What Goes into a Medal: Women's Inclusion and Success at the Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 97(2), pages 177-196, June.
    5. Todd B. Potts, 2022. "Does it pay to Play by the Rules? Respect for Rule of law, Control of Corruption, and National Success at the Summer Olympics," Journal of Sports Economics, , vol. 23(2), pages 222-245, February.

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    Keywords

    sports economics; sporting outcome; prediction; modelling; Winter Olympic Games;
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