Artikel
Performance-maximizing large contests
Many sales, sports, and research contests are put in place to maximize contestants' performance. We investigate and provide a complete characterization of the prize structures that achieve this objective in settings with many contestants. The contestants may be ex-ante asymmetric in their abilities and prize valuations, and there may be complete or incomplete information about these parameters. The prize valuations and performance costs may be linear, concave, or convex. A main novel takeaway is that awarding numerous different prizes whose values gradually decline with contestants' ranking is optimal in the typical case of contestants with convex performance costs and concave prize valuations. This suggests that many real-world contests can be improved by increasing the number of prizes and making them more heterogeneous. The techniques we develop can also be used to formulate and solve other contest design questions that have so far proven intractable.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Theoretical Economics ; ISSN: 1555-7561 ; Volume: 15 ; Year: 2020 ; Issue: 1 ; Pages: 57-88 ; New Haven, CT: The Econometric Society
- Klassifikation
-
Wirtschaft
Auctions
Market Design
Asymmetric and Private Information; Mechanism Design
- Thema
-
Large contests
contest design
optimal contests
mechanism design
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Olszewski, Wojciech
Siegel, Ron
- Ereignis
-
Veröffentlichung
- (wer)
-
The Econometric Society
- (wo)
-
New Haven, CT
- (wann)
-
2020
- DOI
-
doi:10.3982/TE3588
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Olszewski, Wojciech
- Siegel, Ron
- The Econometric Society
Entstanden
- 2020