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Nonparametric identification and estimation of score auctions in multi-attribute procurement
Affiliation:School of Management, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, Santiago RM 7820436, Chile
Abstract:Score auctions are used in procurement to incorporate other attributes beyond price. We establish nonparametric econometric identification of bidders' pseudotypes (a measure of bidder's private cost), when bids are evaluated using a preannounced quasi-linear score, calculated on the basis of the submitted levels of the attributes. Hence, we extend the standard nonparametric method for independent private costs sealed-bid, first price auctions, to multi-attribute quasi-linear score auctions. We illustrate the result with an application to scoring bid data.
Keywords:Multidimensional procurement  Score auctions  Nonparametric estimation  Data-driven decision making
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