Elicitation of Strategy Profiles in Large Group Coordination Games
Darryl Seale () and
Amnon Rapoport
Experimental Economics, 2000, vol. 3, issue 2, 153-179
Abstract:
The strategy method is an experimental procedure for eliciting a complete strategy of play for all information sets, not only the ones that happen to be reached during the course of a play of a game. We use it to elicit individual strategy profiles for a class of large group, market entry games in which the payoff for a player who enters on a given market capacity value decreases linearly in the difference between the capacity value and the corresponding number of entrants. Our results show that the aggregate frequencies of entry do not differ from previous results obtained under the more common decision method. Under both methods, the number of entrants across a large set of market capacity values is organized remarkably well by the equilibrium solution. In contrast, theindividual profiles do not support mixed equilibrium play; only three of the sixty profiles suggest attempts at randomization or “mixing” between periods. About half of the individual profiles appear to converge, albeit slowly, to cutoff decision policies and more than a quarter of the profiles exhibit a variety of patterns that defy classification. Copyright Kluwer Academic Publishers 2000
Keywords: coordination market entry games; adaptive learning; strategy method (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://hdl.handle.net/10.1023/A:1026541403088 (text/html)
Access to full text is restricted to subscribers.
Related works:
Journal Article: Elicitation of Strategy Profiles in Large Group Coordination Games (2000) 
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:kap:expeco:v:3:y:2000:i:2:p:153-179
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10683/PS2
DOI: 10.1023/A:1026541403088
Access Statistics for this article
Experimental Economics is currently edited by David J. Cooper, Lata Gangadharan and Charles N. Noussair
More articles in Experimental Economics from Springer, Economic Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().