| Education: | PhD Economics, Northwestern University, 2006 |
Adam is an Associate Professor of Economics at Duke University and a Research economist at the IFS. His research interests are in Econometrics and Applied Industrial Organization.
| Working Paper
This paper studies identification and estimation of the distribution of bidder valuations in an incomplete model of English auctions. As in Haile and Tamer (2003) bidders are assumed to (i) bid no more than their valuations and (ii) never let an opponent win at a price they are willing to beat. Unlike the model studied by Haile and Tamer (2003), the requirement of independent private values is dropped, enabling the use of these restrictions on bidder behavior with affiliated private values, for example through the presence of auction specifi c unobservable heterogeneity. In addition, a semiparametric index restriction on the effect of auction-specifi c observable heterogeneity is incorporated, which, relative to nonparametric methods, can be help- ful in alleviating the curse of dimensionality with a moderate or large number of covariates. The identification analysis employs results from Chesher and Rosen (2017) to characterize identified sets for bidder valuation distributions and functionals thereof.
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