Efficiency of the Reversed First-Price Sealed Bid Auctions with a Dynamic Run-Off. Results of Experiments
Paweł Kuśmierczyk ()
Additional contact information
Paweł Kuśmierczyk: Wrocław University of Economics
Central European Journal of Economic Modelling and Econometrics, 2015, vol. 7, issue 3, 151-167
Abstract:
In case of the private procurement auctions the entrepreneurs are not forced to limit themselves to the standard auction rules, and in practice one can observe many hybrid or quasi-auction mechanisms spontaneously introduced. The paper analyzes two of them, which start as a first-price sealed-bid auction, followed by a run-off in a form of an English auction, and which differ by the transparency of rules concerning the initiation of the second stage. The focus of the paper is on the analysis of the price and allocative efficiency of these mechanisms, in order to determine whether they can serve as an alternative to the standard auction rules. Theoretical analyses are followed by the laboratory experiments, which demonstrate that the mechanisms under study are characterized by both high price and allocative efficiency, and therefore could be considered an interesting substitute of the standard auction rules.
Keywords: auction; procurement auction; efficiency; experiments (search for similar items in EconPapers)
JEL-codes: C91 D44 D61 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://cejeme.org/publishedarticles/2015-03-17-635806802154218750-6763.pdf (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:psc:journl:v:7:y:2015:i:3:p:151-167
Access Statistics for this article
More articles in Central European Journal of Economic Modelling and Econometrics from Central European Journal of Economic Modelling and Econometrics
Bibliographic data for series maintained by Damian Jelito ().