Nonparametric Identification of First-Price Auctions With Non-Separable Unobserved Heterogeneity

Nonparametric Identification of First-Price Auctions With Non-Separable Unobserved Heterogeneity
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Book Synopsis Nonparametric Identification of First-Price Auctions With Non-Separable Unobserved Heterogeneity by : David McAdams

Download or read book Nonparametric Identification of First-Price Auctions With Non-Separable Unobserved Heterogeneity written by David McAdams and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a novel methodology for nonparametric identification of first-price auction models with independent private values, which allows for one-dimensional auction-specific unobserved heterogeneity, based on recent results from the econometric literature on nonclassical measurement error in Hu and Schennach (2008). Our approach can accommodate a wide variety of applications in which some location of the conditional distribution of bids (e.g. min or max of the support, mean, etc.) is increasing in the unobserved heterogeneity. This includes settings in which the econometrician fails to observe the reserve price, the cost of bidding, the number of bidders, or some factor (“quality”) with a non-linear effect on bidder values.


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