Advanced Search
MyIDEAS: Login

Predicting the Medal Wins by Country at the 2006 Winter Olympic Games: An Econometrics Approach

Contents:

Author Info

  • Pfau, Wade Donald

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://mpra.ub.uni-muenchen.de/18829/
File Function: original version
Download Restriction: no

Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 18829.

as in new window
Length:
Date of creation: Dec 2006
Date of revision:
Handle: RePEc:pra:mprapa:18829

Contact details of provider:
Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC

Related research

Keywords: olympics; medals; predictions; econometrics; winter;

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. World Bank, 2004. "World Development Indicators 2004," World Bank Publications, The World Bank, number 13890, October.
  2. 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.
  3. 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.
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 in new window

Cited by:
  1. Madeleine Andreff & Wladimir Andreff & Sandrine Poupaux, 2008. "Les Determinants Economiques de la Performance Olympique," Working Papers 0819, International Association of Sports Economists & North American Association of Sports Economists.
  2. 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.
  3. Madeleine Andreff & Wladimir Andreff, 2011. "Economic Prediction of Medal Wins at the 2014 Winter Olympics," Ekonomika a Management, University of Economics, Prague, vol. 2011(2).
  4. Madeleine Andreff & Wladimir Andreff, 2011. "Economic Prediction of Medal Wins at the 2014 Winter Olympics," Working Papers 1116, International Association of Sports Economists & North American Association of Sports Economists.
  5. Wladimir Andreff, 2012. "Is Hosting the Games Enough to Win? A predictive economic model of medal wins at 2014 Winter Olympics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00794057, HAL.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:18829. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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