Nonparametric identification and estimation of score auctions in multi-attribute procurement

Bernardo F. Quiroga*, Felipe Aldunate

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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 languageEnglish
Pages (from-to)748-751
Number of pages4
JournalOperations Research Letters
Issue number5
StatePublished - Sep 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.


  • Data-driven decision making
  • Multidimensional procurement
  • Nonparametric estimation
  • Score auctions


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