We model summer Olympic medal counts using count data analysis. The advantage of this methodology is its explicit recognition of the discrete non-negative form of the dependent variable; i.e. the total number of medals won by a nation in a summer Olympiad. Using data from the most recent 2004 Summer Games in Athens, Poisson and negative binomial count data regression models are constructed. The chosen model is negative binomial and attaches statistical significance to Gross Domestic Product (GDP) per capita, the age dependency ratio, and a relatively cold climate. In contrast to previous studies, population, health expenditure per capita, and the effect of being a host or neighbour nation of an Olympiad are all insignificant in explaining medal counts. We also find no “cricket effect” or “rugby effect.”
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
Publisher Info
Paper provided by Department of Economics, University of Victoria in its series Econometrics Working Papers with number
0602.
Length: 13 pages Date of creation: 16 Aug 2006 Date of revision: Handle: RePEc:vic:vicewp:0602
Note: ISSN 1485-6441 Contact details of provider: Postal: PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2 Phone: (250)721-8540 Fax: (250)721-6214 Web page: http://web.uvic.ca/econ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (David Giles).
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.:
Cited by: (explanations, 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.)