Arbeitspapier

Unraveling of cooperation in dynamic collaboration

We examine collaboration in a one-arm bandit problem in which the players' actions affect the distribution over future payoffs. The players need to exert costly effort both to enhance the value of a risky technology and to learn about its current state. Both product value and learning are public goods, which gives the players incentives to free-ride on each others' actions. This leads to an inefficiently low aggregate level of effort. When the players' actions affect the distribution over future payoffs, they eventually get trapped in the low action, causing an inefficient unraveling of the game. Moreover, the players' incentives to exert effort depend on the state that in turn depends on the aggregate effort. If the players start restricting effort when the belief decreases in expectation, the two effects play in the same direction. Higher effort encourages higher effort and vice versa. Unraveling leads to multiple symmetric Markov perfect equilibria.

Sprache
Englisch

Erschienen in
Series: SFB 649 Discussion Paper ; No. 2016-048

Klassifikation
Wirtschaft
Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Innovation and Invention: Processes and Incentives
Thema
Stochastic games
strategic experimentation
Bayesian learning
restless bandits

Ereignis
Geistige Schöpfung
(wer)
Vasama, Suvi
Ereignis
Veröffentlichung
(wer)
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
(wo)
Berlin
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Vasama, Suvi
  • Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk

Entstanden

  • 2016

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