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  Biasing unbiased dynamic contests

Barbieri, S., & Serena, M. (2018). Biasing unbiased dynamic contests. Working Paper of the Max Planck Institute for Tax Law and Public Finance, No. 2018-06. doi:10.2139/ssrn.3180545.

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https://ssrn.com/abstract=3180545 (Preprint)
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 Urheber:
Barbieri, Stefano1, Autor
Serena, Marco2, Autor           
Affiliations:
1External Organizations, ou_persistent22              
2Public Economics, MPI for Tax Law and Public Finance, Max Planck Society, ou_830552              

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 Zusammenfassung: We consider a best-of-three Tullock contest between two ex-ante identical players. An effort-maximizing designer commits to a vector of player-specific biases (advantages or disadvantages). In our benchmark model the designer chooses victory-dependent biases (i.e., the biases depend on the record of matches won by players); the effort-mazimizing biases eliminate the discouragement effect, leaving players equally likely to win each match and the overall contest. We contrast our benchmark model with one where the designer chooses victory-independent biases; the effort-maximizing biases leave players unequally likely to win each match and the overall contest. This result holds in Tullock contests and all-pay auctions, as well as under maximization of total effort and winner's effort. The appeal of our result comes from the players being ex-ante identical; thus, it challenges the conventional wisdom of optimality of unbiased contests. Our result has also an applied interest, as it shows that alternating biases, as when teams alternate home and away games, may increase total effort as opposed to an unbiased contest.

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Sprache(n): eng - English
 Datum: 2018-08-08
 Publikationsstatus: Online veröffentlicht
 Seiten: 44
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.2139/ssrn.3180545
 Art des Abschluß: -

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Titel: Working Paper of the Max Planck Institute for Tax Law and Public Finance
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: No. 2018-06 Artikelnummer: - Start- / Endseite: - Identifikator: -