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Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity

Serafin Grundl and Yu Zhu

Journal of Econometrics, 2019, vol. 210, issue 2, 363-378

Abstract: This paper shows point-identification in first-price auctions with risk aversion and unobserved auction heterogeneity, by exploiting multiple bids per auction and variation in the number of bidders. If the exclusion restriction required for point-identification is violated, the recovered primitives are still valid bounds under weaker restrictions. We propose a Sieve Maximum Likelihood Estimator (SMLE). Monte Carlo experiments illustrate that the estimator performs well and that ignoring unobserved auction heterogeneity can bias risk aversion estimates. In an application to timber auctions we find that the bidders are risk-neutral, but we would reject risk-neutrality without accounting for unobserved auction heterogeneity.

Keywords: First-price auction; Unobserved heterogeneity; Risk aversion (search for similar items in EconPapers)
JEL-codes: C57 C14 D44 (search for similar items in EconPapers)
Date: 2019
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Related works:
Working Paper: Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity (2016) Downloads
Working Paper: Identification and Estimation of Risk Aversion in First Price Auctions With Unobserved Auction Heterogeneity (2015) Downloads
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DOI: 10.1016/j.jeconom.2019.02.004

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