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Incorporating Fairness Motives into the Impulse Balance Equilibrium and Quantal Response Equilibrium Concepts: An Application to 2x2 Games


Alessandro Tavoni


London School of Economics & Political Science (LSE); Princeton University - Department of Ecology and Evolutionary Biology

August 4, 2009

FEEM Working Paper No. 40.2009

Abstract:     
Substantial evidence has accumulated in recent empirical works on the limited ability of the Nash equilibrium to rationalize observed behavior in many classes of games played by experimental subjects. This realization has led to several attempts aimed at finding tractable equilibrium concepts which perform better empirically; one such example is the impulse balance equilibrium (Selten, Chmura, 2008), which introduces a psychological reference point to which players compare the available payoff allocations. This paper is concerned with advancing two new, empirically sound, concepts: equity-driven impulse balance equilibrium (EIBE) and equity-driven quantal response equilibrium (EQRE): both introduce a distributive reference point to the corresponding established stationary concepts known as impulse balance equilibrium (IBE) and quantal response equilibrium (QRE). The explanatory power of the considered models leads to the following ranking, starting with the most successful in terms of fit to the experimental data: EQRE, IBE, EIBE, QRE and Nash equilibrium.

Number of Pages in PDF File: 25

Keywords: Fairness, Inequity Aversion, Aspiration Level, Impulse Balance, Quantal Response, Behavioral Economics, Experimental Economics

JEL Classification: C72, C91, D01, D63

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Date posted: August 8, 2009  

Suggested Citation

Tavoni, Alessandro, Incorporating Fairness Motives into the Impulse Balance Equilibrium and Quantal Response Equilibrium Concepts: An Application to 2x2 Games (August 4, 2009). FEEM Working Paper No. 40.2009. Available at SSRN: http://ssrn.com/abstract=1443798 or http://dx.doi.org/10.2139/ssrn.1443798

Contact Information

Alessandro Tavoni (Contact Author)
London School of Economics & Political Science (LSE) ( email )
Houghton Street
London, WC2A 2AE
United Kingdom
HOME PAGE: http://www2.lse.ac.uk/GranthamInstitute/whosWho/Staff/AlessandroTavoni.aspx
Princeton University - Department of Ecology and Evolutionary Biology ( email )
Princeton, NJ 08544
United States
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