Parametric Contest Success Functions

18 Pages Posted: 4 Oct 2007

See all articles by Birendra K. Rai

Birendra K. Rai

Max Planck Society for the Advancement of the Sciences - Max Planck Institute for Economics

Rajiv Sarin

Texas A&M University - Department of Economics

Date Written: April 2007

Abstract

The key element of models of contest is the Contest Success Function (CSF) which specifies the winning probabilities of agents. We provide an axiomatization of two parametric families of CSF's. In the first, the winning probability of each agent depends on the investments and a vector of parameters, where each parameter is specific to one of the contestants. In the second, the winning probabilities depend on investments and a scalar parameter common to all contestants.

Keywords: Contest success function, Axiomatization, Rent seeking

JEL Classification: C70, D72, D74

Suggested Citation

Rai, Birendra K. and Sarin, Rajiv, Parametric Contest Success Functions (April 2007). Jena Economic Research Paper No. 2007-010, Available at SSRN: https://ssrn.com/abstract=1019215 or http://dx.doi.org/10.2139/ssrn.1019215

Birendra K. Rai (Contact Author)

Max Planck Society for the Advancement of the Sciences - Max Planck Institute for Economics ( email )

Kahlaische Strasse 10
D-07745 Jena, 07745
Germany

Rajiv Sarin

Texas A&M University - Department of Economics ( email )

5201 University Blvd.
College Station, TX 77843-4228
United States
979-845-7382 (Phone)

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