Published November 2003 | Version Published
Working Paper Open

Learning Dynamics in Mechanism Design: An Experimental Comparison of Public Goods Mechanisms

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Abstract

In a repeated-interaction public goods economy, dynamic behavior may affect the efficiency of various mechanisms thought to be efficient in one-shot games. Inspired by results obtained in previous experiments, the current paper proposes a simple best response model in which players' beliefs are functions of previous strategy profiles. The predictions of the model are found to be highly consistent with new experimental data from five mechanisms with various types of equilibria. Interesting properties of a 2-parameter Vickrey-Clarke-Groves mechanism help to draw out this result. The simplicity of the model makes it useful in predicting dynamic stability of other mechanisms.

Additional Information

The author wishes to thank John Ledyard for financial support, advice, and encouragement in writing this paper, as well as Ken Binmore, Matt Jackson, Tim Cason, Bob Sherman, Ivana Komunjer, Peter Bossaerts, Tatsuyoshi Saijo, and David Grether for their valuable suggestions and comments. Published as Healy, P.J. (2006). Learning dynamics for mechanism design: An experimental comparison of public goods mechanisms. Journal of Economic Theory, 129(1), 114-149.

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Eprint ID
79635
Resolver ID
CaltechAUTHORS:20170731-161011632

Dates

Created
2017-08-01
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Updated
2019-10-03
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Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1182