Mechanism Design for eliciting probabilistic estimates from multiple suppliers with unknown costs and limited precision

Athanasios Papakonstantinou (), A. Rogers, E. H Gerding and N. R. Jennings

MPRA Paper from University Library of Munich, Germany

Abstract: This paper reports on the design of a novel two-stage mechanism, based on strictly proper scoring rules, that allows a centre to acquire a costly probabilistic estimate of some unknown parameter, by eliciting and fusing estimates from multiple suppliers. Each of these suppliers is capable of producing a probabilistic estimate of any precision, up to a privately known maximum, and by fusing several low precision estimates together the centre is able to obtain a single estimate with a specified minimum precision. Specifically, in the mechanism’s first stage M from N agents are pre-selected by eliciting their privately known costs. In the second stage, these M agents are sequentially approached in a random order and their private maximum precision is elicited. A payment rule, based on a strictly proper scoring rule, then incentivises them to make and truthfully report an estimate of this maximum precision, which the centre fuses with others until it achieves its specified precision. We formally prove that the mechanism is incentive compatible regarding the costs, maximum precisions and estimates, and that it is individually rational. We present empirical results showing that our mechanism describes a family of possible ways to perform the pre-selection in the first stage, and formally prove that there is one that dominates all others.

Keywords: Mechanism Design; Auction Theory; Multi-agent Systems; Scoring Rules (search for similar items in EconPapers)
JEL-codes: D44 D81 D82 D83 (search for similar items in EconPapers)
Date: 2010-10-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in LNBIP: Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets. E. David et al. (Eds.): AMEC/TADA 2009 59 (2010): pp. 102-116

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/43323/1/MPRA_paper_43323.pdf original version (application/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:pra:mprapa:43323

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().