IDEAS home Printed from https://ideas.repec.org/a/kea/keappr/ker-200612-22-2-02.html
   My bibliography  Save this article

Predicting the Medal Wins at the 2006 Winter Olympics: an Econometrics Approach

Author

Listed:
  • Wade D. Pfau

    (Ewha Womans University)

Abstract

Demographic and economic characteristics have been shown to provide important predictive power for determining a country��s success in the Olympic Games. This paper extends such research, providing a set of predictions for the gold medals and total medals each country will win at the 2006 Winter Olympics. We expected Germany to win the most medals, followed by the United States, Norway, Italy, Austria, and Canada. For total medals, the overall correlation between the predictions and the actual results was 0.934. While Germany and the United States did finish in the top two places, there were some surprises as Canada, Austria, and Russia performed better than expected, while Norway and Italy did not live up to expectations.

Suggested Citation

  • Wade D. Pfau, 2006. "Predicting the Medal Wins at the 2006 Winter Olympics: an Econometrics Approach," Korean Economic Review, Korean Economic Association, vol. 22, pages 233-247.
    • Handle: RePEc:kea:keappr:ker-200612-22-2-02
    as

    Download full text from publisher

    File URL: http://keapaper.kea.ne.kr/RePEc/kea/keappr/KER-200612-22-2-02.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. World Bank, 2004. "World Development Indicators 2004," World Bank Publications - Books, The World Bank Group, number 13890, December.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Jakob Skoet & Kostas Stamoulis & Annelies Deuss, 2004. "Investing in Agriculture for Growth and Food Security in the ACP countries," Working Papers 04-22, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    3. Justin Lin & Peilin Liu, 2006. "Economic Development Strategy, Openness and Rural Poverty: A Framework and China's Experiences," WIDER Working Paper Series RP2006-43, World Institute for Development Economic Research (UNU-WIDER).
    4. Una Okonkwo Osili & Anna L. Paulson, 2006. "What can we learn about financial access from U.S. immigrants?," Working Paper Series WP-06-25, Federal Reserve Bank of Chicago.
    5. Antonio Ciccone & Marek Jarociński, 2010. "Determinants of Economic Growth: Will Data Tell?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 222-246, October.
    6. Dean Yang, 2008. "International Migration, Remittances and Household Investment: Evidence from Philippine Migrants' Exchange Rate Shocks," Economic Journal, Royal Economic Society, vol. 118(528), pages 591-630, April.
    7. Amanda Ellis & Claire Manuel & C. Mark Blackden, 2005. "Gender and Economic Growth in Uganda : Unleashing the Power of Women," World Bank Publications - Books, The World Bank Group, number 7388, December.
    8. Francis Teal, 2006. "Consumption and welfare in Ghana in the 1990s," Journal of Development Studies, Taylor & Francis Journals, vol. 42(7), pages 1252-1269.
    9. Katarina Keller & Panu Poutvaara & Andreas Wagener, 2009. "Does Military Draft Discourage Enrollment in Higher Education? Evidence from OECD Countries," CESifo Working Paper Series 2838, CESifo.
    10. Ehmke, Mariah & Lusk, Jayson & Tyner, Wallace, 2010. "Multidimensional tests for economic behavior differences across cultures," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(1), pages 37-45, January.
    11. Faria, Andr & Mauro, Paolo, 2009. "Institutions and the external capital structure of countries," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 367-391, April.
    12. Akay, Alpaslan & Martinsson, Peter, 2011. "Does relative income matter for the very poor? Evidence from rural Ethiopia," Economics Letters, Elsevier, vol. 110(3), pages 213-215, March.
    13. Carré, Sylvain & Cohen, Daniel & Villemot, Sébastien, 2019. "The sources of sovereign risk: a calibration based on Lévy stochastic processes," Journal of International Economics, Elsevier, vol. 118(C), pages 31-43.
    14. Rafaelita M. Aldaba & Gloria O. Pasadilla, 2010. "The ASEAN Services Sector and the Growth Rebalancing Model," Working Papers id:2922, eSocialSciences.
    15. Mohamed Dridi, 2014. "Corruption and Education: Empirical Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 4(3), pages 476-493.
    16. Sadhana Srivastava, 2006. "The Role Of Foreign Direct Investment In India'S Services Exports: An Empirical Investigation," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 51(02), pages 175-194.
    17. Robert K. Fleck & Christopher Kilby, 2006. "World Bank Independence: A Model and Statistical Analysis of US Influence," Review of Development Economics, Wiley Blackwell, vol. 10(2), pages 224-240, May.
    18. HEPP, Ralf, 2010. "CONSEQUENCES OF DEBT RELIEF INITIATIVES IN THE 1990s," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    19. Arne Bigsten & Mans Söderbom, 2006. "What Have We Learned from a Decade of Manufacturing Enterprise Surveys in Africa?," The World Bank Research Observer, World Bank, vol. 21(2), pages 241-265.
    20. repec:ilo:ilowps:376750 is not listed on IDEAS
    21. Yoruk, Baris, 2007. "Human Capital, Innovation, and Productivity Growth: Tales from Latin America and Caribbean," MPRA Paper 3667, University Library of Munich, Germany.

    More about this item

    Keywords

    Olympics; Econometrics; Forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    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:kea:keappr:ker-200612-22-2-02. 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: KEA (email available below). General contact details of provider: https://edirc.repec.org/data/keaaaea.html .

    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.