Conventional contracts, intentional behavior and logit choice: Equality without symmetry
Sung-Ha Hwang,
Wooyoung Lim,
Philip Neary and
Jonathan Newton
Games and Economic Behavior, 2018, vol. 110, issue C, 273-294
Abstract:
When coordination games are played under the logit choice rule and there is intentional bias in agents' non-best response behavior, we show that the Egalitarian bargaining solution emerges as the long run social norm. Without intentional bias, a new solution, the Logit bargaining solution emerges as the long run norm. These results contrast with results under non-payoff dependent deviations from best response behavior, where it has previously been shown that the Kalai–Smorodinsky and Nash bargaining solutions emerge as long run norms. We complement the theory with experiments on human subjects, results of which suggest that non-best response play is payoff dependent and displays intentional bias. This suggests the Egalitarian solution as the most likely candidate for a long run bargaining norm.
Keywords: Evolution; Nash program; Logit choice; Egalitarianism (search for similar items in EconPapers)
JEL-codes: C73 C78 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0899825618300708
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Conventional Contracts, Intentional behavior and Logit Choice: Equality Without Symmetry (2016) 
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:gamebe:v:110:y:2018:i:c:p:273-294
DOI: 10.1016/j.geb.2018.05.002
Access Statistics for this article
Games and Economic Behavior is currently edited by E. Kalai
More articles in Games and Economic Behavior from Elsevier
Bibliographic data for series maintained by Catherine Liu ().