TY - JOUR
T1 - Nonparametric identification and estimation of score auctions in multi-attribute procurement
AU - Quiroga, Bernardo F.
AU - Aldunate, Felipe
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
KW - Data-driven decision making
KW - Multidimensional procurement
KW - Nonparametric estimation
KW - Score auctions
UR - http://www.scopus.com/inward/record.url?scp=85113288810&partnerID=8YFLogxK
U2 - 10.1016/j.orl.2021.08.003
DO - 10.1016/j.orl.2021.08.003
M3 - Article
AN - SCOPUS:85113288810
SN - 0167-6377
VL - 49
SP - 748
EP - 751
JO - Operations Research Letters
JF - Operations Research Letters
IS - 5
ER -