Professor Jason Shachat jason.shachat@durham.ac.uk
Professor
Procuring Commodities: First-Price Sealed-Bid or English Auctions?
Shachat, J.; Wei, L.
Authors
L. Wei
Abstract
We use laboratory experiments to examine the relative performance of the English auction (EA) and the first-price sealed-bid auction (FPA) when procuring a commodity. The mean and variance of prices are lower in the FPA than in the EA. Bids and prices in the EA agree with game-theoretic predictions, but they do not agree in the FPA. To resolve these deviations found in the FPA, we introduce a mixture model with three bidding rules: constant absolute markup, constant percentage markup, and strategic best response. A dynamic specification in which bidders can switch strategies as they gain experience is estimated as a hidden Markov model. Initially, about three quarters of the subjects are strategic bidders, but over time, the number of strategic bidders falls to below 65%. There is a corresponding growth in those who use the constant absolute markup rule.
Citation
Shachat, J., & Wei, L. (2012). Procuring Commodities: First-Price Sealed-Bid or English Auctions?. Marketing Science, 31(2), 317-333. https://doi.org/10.1287/mksc.1120.0704
Journal Article Type | Article |
---|---|
Publication Date | 2012-03 |
Deposit Date | Sep 17, 2014 |
Journal | Marketing Science |
Print ISSN | 0732-2399 |
Electronic ISSN | 1526-548X |
Publisher | Institute for Operations Research and Management Sciences |
Peer Reviewed | Peer Reviewed |
Volume | 31 |
Issue | 2 |
Pages | 317-333 |
DOI | https://doi.org/10.1287/mksc.1120.0704 |
Public URL | https://durham-repository.worktribe.com/output/1445300 |
You might also like
Speed traps: algorithmic trader performance under alternative market balances and structures
(2023)
Journal Article
On the generalizability of using mobile devices to conduct economic experiments
(2023)
Journal Article
Arbitrage bots in experimental asset markets
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search