An agent-based analysis of context-dependent preferences
In "Skating on Thin Ice", Frohlich and Oppenheimer (2006) describe a phenomenon they observed in public goods experiments that is rarely discussed in the literature: individual contributions to the public good are often inconsistent over time, appearing to fluctuate between two distinct contribution levels. Although they conjecture that individuals have complex context-dependent preferences, they did not develop a full specification of the theory. Using an agent-based simulation model, we explore the likelihood of these psychological conjectures, and thereby provide a possible specification of a theory of complex context-dependent preferences. We consider two main theories: first, that inconsistent contributions arise from a deterministic avoidance of exploitation and second, that inconsistent contributions arise from a probabilistic response to exploitation. We show the former theory clearly fails and the latter theory, under specifiable conditions, does produce the observed pattern of contributions. Two simple alternative theories are also considered, that of a highly-stylized "probabilistic guilt" and of goal-oriented but non-utility maximizing behavior (with stable preferences). Both alternatives, under certain conditions, are also able to generate the observed pattern. We develop an analysis of situations in which the predictions of these theories diverge and suggest that one could discriminate between them in laboratory settings. Finally, we consider a possibly fruitful relationship between simulation and experimentation to consider the implications of one's models and conjectures: this research can be seen as one step in an iterative process of theory development, vetting and testing, generating an empirically grounded theory of individual behavior in VCM games.
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- Ernst Fehr & Klaus M. Schmidt, 1999.
"A Theory of Fairness, Competition, and Cooperation,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 114(3), pages 817-868.
- Fehr, Ernst & Schmidt, Klaus M., . "A theory of fairness, competition, and cooperation," Chapters in Economics, University of Munich, Department of Economics.
- Ernst Fehr & Klaus M. Schmidt, "undated". "A Theory of Fairness, Competition and Cooperation," IEW - Working Papers 004, Institute for Empirical Research in Economics - University of Zurich.
- Fehr, Ernst & Schmidt, Klaus M., 1999. "A theory of fairness, competition, and cooperation," Munich Reprints in Economics 20650, University of Munich, Department of Economics.
- Fehr, Ernst & Schmidt, Klaus M., 1998. "A Theory of Fairness, Competition and Cooperation," CEPR Discussion Papers 1812, C.E.P.R. Discussion Papers.
- Ledyard, John O., "undated". "Public Goods: A Survey of Experimental Research," Working Papers 861, California Institute of Technology, Division of the Humanities and Social Sciences.
- J. Ledyard, 1997. "Public Goods: A Survey of Experimental Research," Levine's Working Paper Archive 509, David K. Levine.
- John O. Ledyard, 1994. "Public Goods: A Survey of Experimental Research," Public Economics 9405003, EconWPA, revised 22 May 1994.
- Norman Frohlich & Joe Oppenheimer & Anja Kurki, 2004. "Modeling Other-Regarding Preferences and an Experimental Test," Public Choice, Springer, vol. 119(1_2), pages 91-117, 04.
- Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
- Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011 Elsevier.
- John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA.
- Rabin, Matthew, 1993. "Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December.
- Matthew Rabin., 1992. "Incorporating Fairness into Game Theory and Economics," Economics Working Papers 92-199, University of California at Berkeley.
- M. Rabin, 2001. "Incorporating Fairness into Game Theory and Economics," Levine's Working Paper Archive 511, David K. Levine.
- Dibble, Catherine, 2006. "Computational Laboratories for Spatial Agent-Based Models," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 31, pages 1511-1548 Elsevier.
- Hoffman, Elizabeth & McCabe, Kevin & Smith, Vernon L, 1996. "Social Distance and Other-Regarding Behavior in Dictator Games," American Economic Review, American Economic Association, vol. 86(3), pages 653-660, June.
- Amos Tversky & Itamar Simonson, 1993. "Context-Dependent Preferences," Management Science, INFORMS, vol. 39(10), pages 1179-1189, October.
- Vernon L. Smith, 1994. "Economics in the Laboratory," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 113-131, Winter. Full references (including those not matched with items on IDEAS)
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