Allocating Awards Across Noncomparable Categories
AbstractSuppose an agency awards a fixed number of prizes to applicants in different categories such that the applicant-to-winner ratio is constant by category. It is demonstrated in a simple theoretical model that the number of awards in a category will typically be positively related to the degree of applicant uncertainty. The theoretical findings are related to awards data from the Social Sciences and Humanities Research Council of Canada doctoral fellowship competition.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 617.
Length: 27 pages
Date of creation: Oct 2002
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Other versions of this item:
- D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-12-02 (All new papers)
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