Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity / by Serafin Grundl and Yu Zhu.: FB3-5/2016-23E-PDF

This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. If the exclusion restriction is violated, but weaker restrictions hold instead, the same identification strategy still yields valid bounds for the primitives. We propose a sieve maximum likelihood estimator. A series of Monte Carlo experiments illustrate that the estimator performs well in finite samples and that ignoring unobserved auction heterogeneity can lead to a significant bias in risk-aversion estimates. In an application to U.S. Forest Service timber auctions we find that the bidders are risk neutral, but we would reject risk neutrality without accounting for unobserved auction heterogeneity.

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Publication information
Department/Agency Bank of Canada.
Title Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity / by Serafin Grundl and Yu Zhu.
Series title Staff Working Paper, 1701-9397 ; 2016-23
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) "May 2016."
Includes bibliographical references (p. 45-50).
Publishing information [Ottawa] : Bank of Canada, 2016.
Author / Contributor Grundl, Serafin.
Zhu, Yu, 1966-
Description iv, 67 p.
Catalogue number
  • FB3-5/2016-23E-PDF
Subject terms Auctions
Statistical analysis
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