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Quantal Response Equilibrium and Overbidding in Private-Value Auctions

Quantal response equilibrium and overbidding in private-value auctions
Authors: Goeree, Jacob K.; Holt, Charles A.; Palfrey, Thomas R.;

Quantal Response Equilibrium and Overbidding in Private-Value Auctions

Abstract

This paper reports the results of a private-values auction experiment in which expected costs of deviating from the Nash equilibrium bidding function are asymmetric, with the implication that upward deviations will be more likely in one treatment than in the other. Overbidding is observed in both treatments, but is more prevalent in the treatment where the costs of overbidding are lower. We specify and estimate a noisy (quantal response) model of equilibrium behavior. Estimated noise and risk aversion parameters are highly significant and consistent across treatments. The resulting two-parameter model tracks both the average bids and the distribution of bids remarkably well. Alternative explanations of overbidding are also considered. The estimates of parameters from a nonlinear probability weighting function yield a formulation that is essentially equivalent to risk aversion in this context. A model in which players experience a "joy of winning" provides a reasonable fit of the data but does significantly worse than the risk aversion model.

This research was funded in part by the National Science Foundation (SBR-9818683 and SBR-9631627). Published as Goeree, J.K., Holt, C.A., & Palfrey, T.R. (2002). Quantal response equilibrium and overbidding in private-value auctions. Journal of Economic Theory, 104(1), 247-272.

Submitted - sswp1073.pdf

Country
United States
Keywords

Auctions, bargaining, bidding and selling, and other market models, quantal response, 330, risk aversion, auctions, experiments, auctions, quantal response, experiments, risk aversion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
267
Top 1%
Top 1%
Top 10%
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