Order Statistics Approaches to Unobserved Heterogeneity in Auctions

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Date

7 octobre 2022

Type de document
Périmètre
Identifiant
  • 2210.03547
Collection

arXiv

Organisation

Cornell University




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Yao Luo et al., « Order Statistics Approaches to Unobserved Heterogeneity in Auctions », arXiv - économie


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We establish nonparametric identification of auction models with continuous and nonseparable unobserved heterogeneity using three consecutive order statistics of bids. We then propose sieve maximum likelihood estimators for the joint distribution of unobserved heterogeneity and the private value, as well as their conditional and marginal distributions. Lastly, we apply our methodology to a novel dataset from judicial auctions in China. Our estimates suggest substantial gains from accounting for unobserved heterogeneity when setting reserve prices. We propose a simple scheme that achieves nearly optimal revenue by using the appraisal value as the reserve price.

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