Contingent Prizes in Dynamic Contests

ABSTRACT Firms and government agencies increasingly use online contests to find solutions to problems. These contests allow players to make multiple attempts, and their progress is tracked on a real‐time public leaderboard. Although the contests are dynamic , contest sponsors miss the opportunity to dynamically shape players' incentives, as they award the entire prize pool based only on players' final rankings. We propose the use of contingent prizes that depend on the game's history to incentivize players throughout the contest. We present evidence from two methodologies—a structural model and an RCT—showing that contingent prizes can significantly improve contest outcomes.

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Publication Details

Journal
The RAND Journal of Economics
Published
2025-11-05
DOI
https://doi.org/10.1111/1756-2171.70019
Primary Topic
Experimental Behavioral Economics Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Contingent Prizes in Dynamic Contests

Jorge Lemus, Guillermo Marshall
The RAND Journal of Economics
Experimental Behavioral Economics Studies
article

Contingent Prizes in Dynamic Contests

Jorge Lemus, Guillermo Marshall
article en

Abstract

ABSTRACT Firms and government agencies increasingly use online contests to find solutions to problems. These contests allow players to make multiple attempts, and their progress is tracked on a real‐time public leaderboard. Although the contests are dynamic , contest sponsors miss the opportunity to dynamically shape players' incentives, as they award the entire prize pool based only on players' final rankings. We propose the use of contingent prizes that depend on the game's history to incentivize players throughout the contest. We present evidence from two methodologies—a structural model and an RCT—showing that contingent prizes can significantly improve contest outcomes.

The RAND Journal of EconomicsVol. 56(4)
University of British Columbia (CA), University of Illinois Urbana-Champaign (US)
University of Reading
Openalex Percentile: Top 68%
Experimental Behavioral Economics Studies
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