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Efficient Consignment Auctions

Journal articles  - Journal Article
Liu, B; Loertscher, S; Marx, LM
Published in: Review of Economics and Statistics
January 1, 2026

Consignment auctions are two-stage mechanisms to (re)allocate emission permits. Firms are first endowed with permits and then allowed to trade them. We determine theoretically endowments that enable efficient allocation, subject to incentive compatibility, individual rationality, and no deficit. All firms prefer efficient consignment auctions to efficient standard auctions, making them politically palatable. Firms’ investment incentives align with the first-best in efficient consignment auctions. Grandfathering based on efficient long-run allocations induces efficiency-permitting endowments. A simple calibration to data from Southern California’s RECLAIM program validates our no-deficit assumption and shows that grandfathering provides the best theoretical match for the empirically observed endowments.

Duke Scholars

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Published In

Review of Economics and Statistics

DOI

EISSN

1530-9142

ISSN

0034-6535

Publication Date

January 1, 2026

Volume

108

Issue

1

Start / End Page

225 / 240

Related Subject Headings

  • Economics
  • 3802 Econometrics
  • 3801 Applied economics
  • 3502 Banking, finance and investment
 

Citation

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Liu, B., Loertscher, S., & Marx, L. M. (2026). Efficient Consignment Auctions. Review of Economics and Statistics, 108(1), 225–240. https://doi.org/10.1162/rest_a_01389
Liu, B., S. Loertscher, and L. M. Marx. “Efficient Consignment Auctions.” Review of Economics and Statistics 108, no. 1 (January 1, 2026): 225–40. https://doi.org/10.1162/rest_a_01389.
Liu B, Loertscher S, Marx LM. Efficient Consignment Auctions. Review of Economics and Statistics. 2026 Jan 1;108(1):225–40.
Liu, B., et al. “Efficient Consignment Auctions.” Review of Economics and Statistics, vol. 108, no. 1, Jan. 2026, pp. 225–40. Scopus, doi:10.1162/rest_a_01389.
Liu B, Loertscher S, Marx LM. Efficient Consignment Auctions. Review of Economics and Statistics. 2026 Jan 1;108(1):225–240.
Journal cover image

Published In

Review of Economics and Statistics

DOI

EISSN

1530-9142

ISSN

0034-6535

Publication Date

January 1, 2026

Volume

108

Issue

1

Start / End Page

225 / 240

Related Subject Headings

  • Economics
  • 3802 Econometrics
  • 3801 Applied economics
  • 3502 Banking, finance and investment