Abstract We study self-organized teams in dynamic contests. Using data from Kaggle, we document that teams outperform solo players, but few players choose to form teams. Every new team alters the composition of players, discouraging less productive solo players to make submissions. We estimate the structural parameters of a dynamic contest model, including the team formation and submission costs. We find that team formation incentives diminish with the number of teams, as do the incentives to make submissions. We empirically evaluate the productivity-discouragement tradeoff caused by teamwork and discuss implications for contest design, including facilitating teamwork and hosting open competitions.

An applicant privately observes the value of an idea and files a patent application. After the examination, the patent examiner may not find conclusive evidence of the idea’s value. In this case, granting a patent can be the right decision or a mistake. Moreover, it can prompt obfuscation—effort to disrupt communication—by the applicant, reducing allocative efficiency. We show there is more obfuscation when examiners are more lenient, and we provide an empirical exercise supporting this conclusion. We also show that more examination resources do not prevent and may lead to more obfuscation. This result continues to hold when applicants can invest in knowledge to increase their chances of having good ideas. We also show that there is less obfuscation when good ideas are harder to find. This paper was accepted by Ilia Tsetlin, behavioral economics and decision analysis. Funding: N. Figueroa gratefully acknowledges financial support from ANID PIA/APOYO AFB220003. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.00140 .

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.