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The econometrics of auctions with asymmetric anonymous bidders

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  • Lamy, Laurent

Abstract

We consider standard auction models when bidders’ identities are not–or are only partially–observed by the econometrician. We first adapt the definition of identifiability to a framework with anonymous bids and explore the extent to which anonymity reduces the possibility of identifying private value auction models. Second, in the asymmetric independent private value model which is nonparametrically identified, we generalize Guerre, Perrigne and Vuong’s estimation procedure [Optimal nonparametric estimation of first-price auctions, Econometrica 68 (2000) 525–574] and consider the asymptotic properties of our multi-step kernel-based estimator. Monte Carlo simulations illustrate the practical relevance of our estimation procedure in small data sets.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 167 (2012)
Issue (Month): 1 ()
Pages: 113-132

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Handle: RePEc:eee:econom:v:167:y:2012:i:1:p:113-132

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Web page: http://www.elsevier.com/locate/jeconom

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Keywords: Auctions; Nonparametric identification; Nonparametric estimation; Unobserved heterogeneity; Anonymous bids; Uniform convergence rate;

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References

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  1. Laurent Lamy, 2007. "The Econometrics of Auctions with Asymmetric Anonymous Bidders," Working Papers 2007-24, Centre de Recherche en Economie et Statistique.
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Cited by:
  1. Laurent Lamy, 2007. "The Econometrics of Auctions with Asymmetric Anonymous Bidders," Working Papers 2007-24, Centre de Recherche en Economie et Statistique.

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