IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Computing the Probability of Winning a Competition with an Application to Horse Races

  • Rodriguez Alvaro

    (Rutgers University, Newark)

We use the theoretical framework of “tournament theory” to obtain a statistical foundation for the most popular contest function used in the economics literature. We show that once one solves the issue of measuring “output” as it appears in tournament theory, one can obtain maximum likelihood estimates of the parameters in the contest function based on the past performance of the competitors. The findings are used to predict the odds of winning a horse race and the results compared with the odds generated by the actual wagers.

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://www.degruyter.com/view/j/jqas.2011.7.3/jqas.2011.7.3.1310/jqas.2011.7.3.1310.xml?format=INT
Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by De Gruyter in its journal Journal of Quantitative Analysis in Sports.

Volume (Year): 7 (2011)
Issue (Month): 3 (July)
Pages: 1-11

as
in new window

Handle: RePEc:bpj:jqsprt:v:7:y:2011:i:3:n:3
Contact details of provider: Web page: http://www.degruyter.com

Order Information: Web: http://www.degruyter.com/view/j/jqas

No references listed on IDEAS
You can help add them by filling out this form.

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

When requesting a correction, please mention this item's handle: RePEc:bpj:jqsprt:v:7:y:2011:i:3:n:3. 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: (Peter Golla)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.