Learning, Local Interaction, and Coordination
AbstractThis paper discusses the dynamic implications of learning in a large population coordination game, focusing on the structure of the matching process that describes how players meet. As in M. Kandori, G. Mailath, and R. Rob (1992), experimentation and myopia create 'evolutionary' forces that lead players to coordinate on the risk dominant equilibrium. To describe play with finite time horizons, it is necessary to consider the rates at which the dynamic systems converge. In large populations with uniform matching, play is determined largely by historical factors. When players interact with small sets of neighbors, evolutionary forces may determine the outcome. Copyright 1993 by The Econometric Society.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by David K. Levine in its series Levine's Working Paper Archive with number 391.
Date of creation: 08 Dec 2010
Date of revision:
Contact details of provider:
Web page: http://www.dklevine.com/
Other versions of this item:
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading lists or Wikipedia pages:
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David K. Levine).
If references are entirely missing, you can add them using this form.