Nonparametric identification and estimation of score auctions in multi-attribute procurement
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Date
2021
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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.
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Keywords
Multidimensional procurement, Score auctions, Nonparametric estimation, Data-driven decision making