Implementing the Median

Matias Nuñez, Carlos Pimienta (c.pimienta@unsw.edu.au) and Dimitrios Xefteris

No 2018-11, Discussion Papers from School of Economics, The University of New South Wales

Abstract: In the single-peaked domain, the median rules (Moulin, 1980) are of special interest. They are, essentially, the unique strategy-proof rules as well as the unique Nash implementable ones under complete information. We show that, under mild assumptions on admissible priors, they are also Bayes-Nash implementable by the means of ``detail-free'' mechanisms. That is, mechanisms that do not rely on the mechanism designer having detailed information about the priors that the agents hold. Furthermore, detail-free implementation of the median rules does not clash with truthful behavior. The provided mechanism is such that, in every equilibrium, all agents reveal their true peak with probability one.

Keywords: Nash Implementation; Bayesian Implementation; Robust Implementation; Detail-free; Median rule; Strategy-proofness; Single-Peaked Preferences; Condorcet Winner. (search for similar items in EconPapers)
JEL-codes: C9 D71 D78 H41 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2018-07
New Economics Papers: this item is included in nep-des, nep-gth and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://research.economics.unsw.edu.au/RePEc/papers/2018-11.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Unavailable: Back-end server is at capacity

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:swe:wpaper:2018-11

Access Statistics for this paper

More papers in Discussion Papers from School of Economics, The University of New South Wales Contact information at EDIRC.
Bibliographic data for series maintained by Hongyi Li (hongyi@unsw.edu.au).