Ex-post regret heuristics under private values (I): Fixed and random matching
Rene Saran and
Roberto Serrano
Journal of Mathematical Economics, 2014, vol. 54, issue C, 97-111
Abstract:
In contexts in which players have no priors, we analyze a heuristic process based on ex-post regret as a guide to understand how to play games of incomplete information under private values. The conclusions depend on whether players interact within a fixed set (fixed matching) or they are randomly matched to play the game (random matching). The relevant long run predictions are minimal sets that are “closed under same or better reply” operations. Under additional assumptions in each case, the predictions boil down to Nash equilibria, ex-post equilibria or minimax regret equilibria. These three paradigms exhibit nice robustness properties in the sense that they are independent of beliefs about the exogenous uncertainty of type spaces. The results are illustrated in several applications, including second-price auctions, first-price auctions and Bertrand duopolies.
Keywords: Fixed and random matching; Incomplete information; Ex-post regret heuristics; Minimax regret equilibrium; First-price and second-price auctions; Bertrand duopoly (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030440681400086X
Full text for ScienceDirect subscribers only
Related works:
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:eee:mateco:v:54:y:2014:i:c:p:97-111
DOI: 10.1016/j.jmateco.2014.06.006
Access Statistics for this article
Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii
More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().