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Journal of Political Economy Vol. 129 No. 2 2021

Dynamic Tournament Design: Evidence from Prediction Contests

Jorge Lemus1; Guillermo Marshall2

1 University of Illinois Urbana-Champaign · 2 University of British Columbia

Abstract

Online contests have become a prominent form of innovation procurement. Contest platforms often display a real-time public leaderboard to provide performance feedback. The impact of information disclosure on players’ decisions is theoretically ambiguous: some players may get discouraged and quit, while others may decide to keep working to remain competitive. We investigate the impact of a leaderboard on contest outcomes using two complementary approaches. First, we estimate a dynamic model using observational data and compare the equilibria with and without a leaderboard. Second, we present experimental evidence from student competitions. We find that a leaderboard on average improves competition outcomes.

DOI
10.1086/711762
Volume
129
Issue
2
Pages
383-420
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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