Identification of Auction Models Using Order Statistics

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Date

25 mai 2022

Type de document
Périmètre
Identifiant
  • 2205.12917
Collection

arXiv

Organisation

Cornell University



Sujets proches En

Statistics, Order

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Yao Luo et al., « Identification of Auction Models Using Order Statistics », arXiv - économie


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Résumé 0

Auction data often contain information on only the most competitive bids as opposed to all bids. The usual measurement error approaches to unobserved heterogeneity are inapplicable due to dependence among order statistics. We bridge this gap by providing a set of positive identification results. First, we show that symmetric auctions with discrete unobserved heterogeneity are identifiable using two consecutive order statistics and an instrument. Second, we extend the results to ascending auctions with unknown competition and unobserved heterogeneity.

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