Arbeitspapier

Confusion and reinforcement learning in experimental public goods games

We use a limited information environment to mimic the state of confusion in an experimental, repeated public goods game. The results show that reinforcement learning leads to dynamics similar to those observed in standard public goods games. However, closer inspection shows that individual decay of contributions in standard public goods games cannot be fully explained by reinforcement learning. According to our estimates, learning only accounts for 41 percent of the decay in contributions in standard public goods games. The contribution dynamics of subjects, who are identified as conditional cooperators, differ strongly from the learning dynamics, while a learning model estimated from the limited information treatment tracks behavior for subjects, who cannot be classified as conditional cooperators, reasonably well.

Language
Englisch

Bibliographic citation
Series: CeDEx Discussion Paper Series ; No. 2009-18

Classification
Wirtschaft
Design of Experiments: General
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Public Goods
Subject
public goods experiments
learning
limited information
confusion
conditional cooperation
Öffentliches Gut
Informationsverhalten
Lernen
Spieltheorie

Event
Geistige Schöpfung
(who)
Bayer, Ralph-C.
Renner, Elke
Sausgruber, Rupert
Event
Veröffentlichung
(who)
The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)
(where)
Nottingham
(when)
2009

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Bayer, Ralph-C.
  • Renner, Elke
  • Sausgruber, Rupert
  • The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)

Time of origin

  • 2009

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