Learning Dynamics in Mechanism Design: An Experimental Comparison of Public Goods Mechanisms
Paul Healy ()
No 1182, Working Papers from California Institute of Technology, Division of the Humanities and Social Sciences
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 results. The simplicity of the model makes it useful in predicting dynamic stability of other mechanisms.
Keywords: mechanism design; experiments; best response; public goods; dynamics (search for similar items in EconPapers)
Pages: 49 pages
Date: 2003-11
New Economics Papers: this item is included in nep-cdm and nep-evo
References: Add references at CitEc
Citations:
Published:
Downloads: (external link)
http://www.hss.caltech.edu/SSPapers/wp1182.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.hss.caltech.edu/SSPapers/wp1182.pdf [301 Moved Permanently]--> https://www.hss.caltech.edu/SSPapers/wp1182.pdf)
Related works:
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:clt:sswopa:1182
Ordering information: This working paper can be ordered from
Working Paper Assistant, Division of the Humanities and Social Sciences, 228-77, Caltech, Pasadena CA 91125
Access Statistics for this paper
More papers in Working Papers from California Institute of Technology, Division of the Humanities and Social Sciences Working Paper Assistant, Division of the Humanities and Social Sciences, 228-77, Caltech, Pasadena CA 91125.
Bibliographic data for series maintained by Victoria Mason ().