Dynamic Tournament Design: Evidence from Prediction Contests

S-Tier
Journal: Journal of Political Economy
Year: 2021
Volume: 129
Issue: 2
Pages: 383 - 420

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:ucp:jpolec:doi:10.1086/711762
Journal Field
General
Author Count
2
Added to Database
2026-01-25