Identification in Auction Models with Interdependent Costs ∗
Identification in Auction Models with Interdependent Costs ∗
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具有相互依存成本的拍卖模型中的识别*
DOI:
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发表时间:
2015
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影响因子:
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通讯作者:
G. Bulman
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作者:
G. Bulman
This paper provides a positive identification result for procurement models with asymmetric bidders, statistically dependent private information, and interdependent costs. When bidders are risk neutral, the model’s payoff-relevant primitives are: (i) the joint distribution of private information and (ii) each bidder’s fullinformation expected cost—the expected cost conditional on own and competitors’ information. These primitives are nonparametrically identified from the distribution of bids conditional on observable cost shifters under the following four assumptions. First, each bidder’s private information can be summarized by a real-valued signal. Second, the joint distribution of bidders’ signals does not depend on cost shifters. Third, each bidder’s full-information cost depends on own cost shifters but not on competitors’. Fourth, the observed data are generated by the repeated play of the same equilibrium where bidders use monotone pure strategies. I illustrate how the identification argument is useful for estimation using data from Highway Procurements in Michigan. The estimates are used to evaluate policies that reduce the severity of the winner’s curse by restricting participation. ∗This version: April 1, 2015. For the latest version, see economics.mit.edu/faculty/psomaini. I am grateful to Frank Wolak, Liran Einav, Han Hong, Peter Reiss, Timothy Bresnahan, Phil Haile, Steven Berry, Amit Gandhi, Tong Li, Matt Gentry, Lanier Benkard, Alejandro Molnar, Tim Armstrong, Arthur van Benthem, George Bulman, Dominic Coey, Ignacio Esponda, Johannes Stroebel, Ali Yurukoglu, and Daniel Waldinger, I have also benefited from seminar participants at Stanford, Berkeley, UCLA, Northwestern, Chicago U, Wisconsin U, NYU, Harvard, MIT, Yale, and Vanderbilt. The Martin Lee Johnson fellowship is gratefully acknowledged. †Department of Economics, MIT, 77 Massachusetts Ave E18-212, Cambridge, MA 02139, psomaini@mit.edu