Learning and cooperation in network experiments

Oliver Kirchkamp and Rosemarie Nagel

No 05-27, Sonderforschungsbereich 504 Publications from Sonderforschungsbereich 504, Universität Mannheim, Sonderforschungsbereich 504, University of Mannheim

Abstract: In this paper we study learning and cooperation in repeated prisoners' dilemmas experiments. We compare interaction neighbourhoods of different sizes and structure and we observe choices under different information conditions and estimate parameters of a learning model. We test robustness of the eastimator. We find that imitation, albeit a driving force in many models of spatial evolution, is often a negligible factor in the experiment. As a result, we find less cooperation.

Keywords: Imitation; learning; local interaction; heterogeneity of environment; experiments; prisoners' dilemma (search for similar items in EconPapers)
JEL-codes: C72 C92 D74 D83 H41 R12 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2005-07-07
Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, and the Spanish DGIC Técnica PB95-0983 and PB98-1076, is gratefully acknowledged.
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.kirchkamp.de/research/expLoc5.html (application/pdf)

Related works:
Working Paper: Learning and cooperation in network experiments (2005)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:xrs:sfbmaa:05-27

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Sonderforschungsbereich 504 Publications from Sonderforschungsbereich 504, Universität Mannheim Contact information at EDIRC., Sonderforschungsbereich 504, University of Mannheim
Bibliographic data for series maintained by Carsten Schmidt ( this e-mail address is bad, please contact ).