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.
Original language | English |
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Pages (from-to) | 748-751 |
Number of pages | 4 |
Journal | Operations Research Letters |
Volume | 49 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2021 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 Elsevier B.V.
Keywords
- Data-driven decision making
- Multidimensional procurement
- Nonparametric estimation
- Score auctions