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Are Structural Estimates of Auction Models Reasonable? Evidence from Experimental Data

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  • Patrick Bajari
  • Ali Hortacsu

Abstract

February 2003 Recently, economists have developed methods for structural estimation of auction models. Many researchers object to these methods because they find the rationality assumptions used in these models to be implausible. In this paper, we explore whether structural auction models can generate reasonable estimates of bidders’ private information. Using bid data from auction experiments, we estimate four alternative structural models of bidding in first-price sealed-bid auctions: 1) risk neutral Bayes-Nash, 2) risk averse Bayes-Nash, 3) a model of learning and 4) a quantal response model of bidding. For each model, we compare the estimated valuations and the valuations assigned to bidders in the experiments. We find that a slight modification of Guerre, Perrigne and Vuong’s (2000) procedure for estimating the risk neutral Bayes-Nash model to allow for bidder asymmetries generates quite reasonable estimates of the structural parameters. Working Papers Index

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Paper provided by Stanford University, Department of Economics in its series Working Papers with number 03002.

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Date of creation: Feb 2003
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Handle: RePEc:wop:stanec:03002

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  7. repec:cup:etheor:v:12:y:1996:i:3:p:517-67 is not listed on IDEAS
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  27. Thomas Palfrey, 2002. "Quantal Response Equilibrium and Overbidding in Private Value Auctions," Theory workshop papers 357966000000000089, UCLA Department of Economics.
  28. Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2000. "Optimal Nonparametric Estimation of First-Price Auctions," Econometrica, Econometric Society, vol. 68(3), pages 525-574, May.
  29. Donald, S.G. & Paarsch, H.J., 1993. "Identification, Estimation, and Testing in Empirical Models of Auction Within the Independent Private Values Paradigm," UWO Department of Economics Working Papers 9319, University of Western Ontario, Department of Economics.
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