Payoff levels, loss avoidance, and equilibrium selection in the Stag Hunt: an experimental study

Nick Feltovich, Atsushi Iwasaki, Sobei H. Oda

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

1 Citation (Scopus)

Abstract

Game theorists typically assume that changing a game's payoff levels-by adding the same constant to, or subtracting it from, all payoffs-should not affect behavior. However, this invariance is an empirical question when “payoffs” are actually money amounts rather than utility amounts. In particular, if individuals treat gains and losses differently, then payoff-level changes may matter when they result in positive payoffs becoming negative, or vice versa. We report the results of a human-subjects experiment designed to test for two types of “loss avoidance”: certain-loss avoidance (avoiding a strategy leading to a sure loss, in favor of an alternative that might lead to a gain) and possible-loss avoidance (avoiding a strategy leading to a possible loss, in favor of an alternative that leads to a sure gain). Subjects in the experiment play three versions of a game called Stag Hunt, which are identical up to the level of payoffs, under a variety of treatments. We find differences in behavior across the three games; these differences are hard to detect in the first round of play, but grow over time. When significant, the differences we find are in the direction predicted by certain- and possible-loss avoidance. Our results carry implications for games with multiple equilibria, and for theories that attempt to select equilibria in such games.

Original languageEnglish
Title of host publicationNegotiation and Market Engineering 2006
Publication statusPublished - 2007
Externally publishedYes
EventNegotiation and Market Engineering 2006 - Wadern, Germany
Duration: 12 Nov 200617 Nov 2006

Publication series

NameDagstuhl Seminar Proceedings
Volume6461
ISSN (Print)1862-4405

Conference

ConferenceNegotiation and Market Engineering 2006
Country/TerritoryGermany
CityWadern
Period12/11/0617/11/06

Keywords

  • behavioral economics
  • experiment
  • game theory
  • learning
  • stag hunt

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