Partial Identification of the Valuation Distribution in Sequential English Auctions

Fuente: arXiv
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Main Authors: Kim, Dongwoo, Kim, Kyoo il, Pal, Pallavi
Format: Preprint
Published: 2026
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author Kim, Dongwoo
Kim, Kyoo il
Pal, Pallavi
author_facet Kim, Dongwoo
Kim, Kyoo il
Pal, Pallavi
contents This paper extends the incomplete model of Haile and Tamer (2003) from static English auctions to sequential English auctions. Because bidders may wait for future opportunities, the static condition that bidders do not let rivals win at beatable prices need not hold. We replace it with a dynamic opportunity-cost restriction, yielding nonparametric valuation bounds without solving a dynamic equilibrium. Sharp bounds are also characterized. We propose a novel moment-condition inversion estimator that pools auctions with heterogeneous bidder counts, mitigating finite-sample instability of order statistics approaches and admitting analytical standard errors and smooth confidence intervals. Applications to Korean wholesale used-car auctions and Cars and Bids online auctions deliver informative bounds. Counterfactual analyses show that the option to wait lowers first-period revenue by 8--11% in the Korean market, that increasing effective competition from 8 to 20 serious bidders in Cars and Bids raises seller revenue by 40--65%, and that maximin reserve prices vary substantially across vehicle clusters.
format Preprint
id arxiv_https___arxiv_org_abs_2605_14400
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Partial Identification of the Valuation Distribution in Sequential English Auctions
Kim, Dongwoo
Kim, Kyoo il
Pal, Pallavi
Econometrics
This paper extends the incomplete model of Haile and Tamer (2003) from static English auctions to sequential English auctions. Because bidders may wait for future opportunities, the static condition that bidders do not let rivals win at beatable prices need not hold. We replace it with a dynamic opportunity-cost restriction, yielding nonparametric valuation bounds without solving a dynamic equilibrium. Sharp bounds are also characterized. We propose a novel moment-condition inversion estimator that pools auctions with heterogeneous bidder counts, mitigating finite-sample instability of order statistics approaches and admitting analytical standard errors and smooth confidence intervals. Applications to Korean wholesale used-car auctions and Cars and Bids online auctions deliver informative bounds. Counterfactual analyses show that the option to wait lowers first-period revenue by 8--11% in the Korean market, that increasing effective competition from 8 to 20 serious bidders in Cars and Bids raises seller revenue by 40--65%, and that maximin reserve prices vary substantially across vehicle clusters.
title Partial Identification of the Valuation Distribution in Sequential English Auctions
topic Econometrics
url https://arxiv.org/abs/2605.14400