Revenue Maximization Under Unknown Private Values with Nonobligatory Inspection

Rethinking Informational Assumptions in Mechanism Design Mechanism design has proven to be very effective is soliciting buyers’ incentives and finding the optimal way of allocating scares resources. A common assumption in classic mechanism design, however, is that buyers have full information about their values. Motivated by application in e-commerce, Alaei et al. (2024) consider settings without this assumption and finds the optimal selling mechanism for them.

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Publication Details

Journal
Operations Research
Published
2024-11-25
DOI
https://doi.org/10.1287/opre.2022.0024
Citations
1
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
0.49
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article

Revenue Maximization Under Unknown Private Values with Nonobligatory Inspection

Ali Makhdoumi, Azarakhsh Malekian, Saeed Alaei
1 citations
Operations Research
Auction Theory and Applications
0.49
article

Revenue Maximization Under Unknown Private Values with Nonobligatory Inspection

Ali Makhdoumi, Azarakhsh Malekian, Saeed Alaei
article en
1 citations

Abstract

Rethinking Informational Assumptions in Mechanism Design Mechanism design has proven to be very effective is soliciting buyers’ incentives and finding the optimal way of allocating scares resources. A common assumption in classic mechanism design, however, is that buyers have full information about their values. Motivated by application in e-commerce, Alaei et al. (2024) consider settings without this assumption and finds the optimal selling mechanism for them.

Operations ResearchVol. 73(3)
Google (United States) (US), Duke University (US), University of Toronto (CA)
Openalex Percentile: Top 29%
Auction Theory and Applications
0.49
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Revenue Maximization Under Unknown Private Values with Nonobligatory Inspection — Ali Makhdoumi, Azarakhsh Malekian, et al. · Operations Research (2024) | TGRS Research Map | TGRS