IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v2y2014i4p169-202d43197.html
   My bibliography  Save this article

Success at the Summer Olympics: How Much Do Economic Factors Explain?

Author

Listed:
  • Pravin K. Trivedi

    (School of Economics, University of Queensland, St. Lucia, QLD 4072, Australia
    Department of Economics, Indiana University, Bloomington, IN 47408, USA)

  • David M. Zimmer

    (Department of Economics, Western Kentucky University, Bowling Green, KY 42101, USA)

Abstract

Many econometric analyses have attempted to model medal winnings as dependent on per capita GDP and population size. This approach ignores the size and composition of the team of athletes, especially the role of female participation and the role of sports culture, and also provides an inadequate explanation of the variability between the outcomes of countries with similar features. This paper proposes a model that offers two substantive advancements, both of which shed light on previously hidden aspects of Olympic success. First, we propose a selection model that treats the process of fielding any winner and the subsequent level of total winnings as two separate, but related, processes. Second, our model takes a more structural angle, in that we view GDP and population size as inputs into the “production” of athletes. After that production process, those athletes then compete to win medals. We use country-level panel data for the seven Summer Olympiads from 1988 to 2012. The size and composition of the country’s Olympic team are shown to be highly significant factors, as is also the past performance, which generates a persistence effect.

Suggested Citation

  • Pravin K. Trivedi & David M. Zimmer, 2014. "Success at the Summer Olympics: How Much Do Economic Factors Explain?," Econometrics, MDPI, vol. 2(4), pages 1-34, December.
  • Handle: RePEc:gam:jecnmx:v:2:y:2014:i:4:p:169-202:d:43197
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/2/4/169/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2225-1146/2/4/169/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Manuel Luiz & Riyas Fadal, 2011. "An economic analysis of sports performance in Africa," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 38(10), pages 869-883, August.
    2. Kuper, Gerard & Sterken, Elmer, 2001. "Olympic participation and performance since 1896," CCSO Working Papers 200104, University of Groningen, CCSO Centre for Economic Research.
    3. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2004. "Olympic Success and ASEAN Countries," Journal of Sports Economics, , vol. 5(3), pages 262-276, August.
    4. S Lozano & G Villa & F Guerrero & P Cortés, 2002. "Measuring the performance of nations at the Summer Olympics using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 501-511, May.
    5. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    6. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    7. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    8. D Zhang & X Li & W Meng & W Liu, 2009. "Measuring the performance of nations at the Olympic Games using DEA models with different preferences," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 983-990, July.
    9. Moonjoong Tcha, 2004. "The Color of Medals," Journal of Sports Economics, , vol. 5(4), pages 311-328, November.
    10. 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.
    11. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, October.
    12. Mitali Das & Whitney K. Newey & Francis Vella, 2003. "Nonparametric Estimation of Sample Selection Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 33-58.
    13. Alexander Rathke & Ulrich Woitek, 2008. "Economics and the Summer Olympics," Journal of Sports Economics, , vol. 9(5), pages 520-537, October.
    14. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    15. 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.
    16. repec:dgr:rugccs:200104 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mabliny Thuany & Sara Pereira & Lee Hill & Jean Carlos Santos & Thomas Rosemann & Beat Knechtle & Thayse Natacha Gomes, 2021. "Where Are the Best European Road Runners and What Are the Country Variables Related to It?," Sustainability, MDPI, vol. 13(14), pages 1-9, July.
    2. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Kufenko, Vadim & Geloso, Vincent, 2021. "Who are the champions? Inequality, economic freedom and the Olympics," Journal of Institutional Economics, Cambridge University Press, vol. 17(3), pages 411-427, June.
    4. Mabliny Thuany & Thayse Natacha Gomes & Lee Hill & Thomas Rosemann & Beat Knechtle & Marcos B. Almeida, 2021. "Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach," IJERPH, MDPI, vol. 18(7), pages 1-12, April.
    5. Nicolas Scelles & Wladimir Andreff & Liliane Bonnal & Madeleine Andreff & Pascal Favard, 2020. "Forecasting National Medal Totals at the Summer Olympic Games Reconsidered," Social Science Quarterly, Southwestern Social Science Association, vol. 101(2), pages 697-711, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Leeds Eva Marikova & Leeds Michael A., 2012. "Gold, Silver, and Bronze: Determining National Success in Men’s and Women’s Summer Olympic Events," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 279-292, June.
    3. Caroline Buts & Cind Du Bois & Bruno Heyndels & Marc Jegers, 2013. "Socioeconomic Determinants of Success at the Summer Paralympics," Journal of Sports Economics, , vol. 14(2), pages 133-147, April.
    4. Franklin G. Mixon Jr. & Richard J. Cebula, 2022. "Property Rights Freedom and Innovation: Eponymous Skills in Women's Gymnastics," Journal of Sports Economics, , vol. 23(4), pages 407-430, May.
    5. Vagenas, George & Vlachokyriakou, Eleni, 2012. "Olympic medals and demo-economic factors: Novel predictors, the ex-host effect, the exact role of team size, and the “population-GDP” model revisited," Sport Management Review, Elsevier, vol. 15(2), pages 211-217.
    6. Jie Wu & Zhixiang Zhou & Liang Liang, 2010. "Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model," Journal of Sports Economics, , vol. 11(5), pages 549-566, October.
    7. John Manuel Luiz & Riyas Fadal, 2011. "An economic analysis of sports performance in Africa," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 38(10), pages 869-883, August.
    8. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    9. T. Potts, 2014. "Governance, corruption and Olympic success," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3882-3891, November.
    10. Fereidouni, Hassan Gholipour & Foroughi, Behzad & Tajaddini, Reza & Najdi, Youhanna, 2015. "Sport facilities and sporting success in Iran: The Resource Curse Hypothesis," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 1005-1018.
    11. Kavetsos, Georgios & Szymanski, Stefan, 2010. "National well-being and international sports events," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 158-171, April.
    12. John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
    13. El Lahga, Abdel Rahmen & Moreau, Nicolas, 2007. "The Effects of Marriage on Couples’ Allocation of Time Between Market and Non-Market Hours," IZA Discussion Papers 2619, Institute of Labor Economics (IZA).
    14. Loek Groot, 2012. "The Contest for Olympic Success as a Public Good," Journal of Income Distribution, Ad libros publications inc., vol. 21(1), pages 102-117, March.
    15. El Lahga, AbdelRahmen & Moreau, Nicolas, 2007. "Would you Marry me? The Effects of Marriage on German Couples? Allocation of Time," ZEW Discussion Papers 07-024, ZEW - Leibniz Centre for European Economic Research.
    16. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
    17. Martin Grancay & Tomas Dudas, 2018. "Olympic Medals, Economy, Geography and Politics from Sydney to Rio," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 409-441, Spring.
    18. Wladimir Andreff & Madeleine Andreff, 2015. "Economic prediction of sport performances from the Beijing Olympics to the 2010 FIFA World Cup in South Africa: the notion of surprising sporting outcomes," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01244495, HAL.
    19. Alexandre de Cássio Rodrigues & Carlos Alberto Gonçalves & Tiago Silveira Gontijo, 2019. "A two-stage DEA model to evaluate the efficiency of countries at the Rio 2016 Olympic Games," Economics Bulletin, AccessEcon, vol. 39(2), pages 1538-1545.
    20. Loek Groot, 2012. "An Olympic Level Playing Field? The Contest for Olympic Success as a Public Good," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 55(2), pages 25-50.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecnmx:v:2:y:2014:i:4:p:169-202:d:43197. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.