Identifying combinatorial valuations from aggregate demand

Itai Sher; Kyoo il Kim

doi:10.1016/j.jet.2014.07.009

Identifying combinatorial valuations from aggregate demand

Itai Sher, Kyoo il Kim

Economics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

We study identification of combinatorial valuations from aggregate demand. Each utility function takes as arguments subsets or, alternatively, quantities of the multiple goods. We exploit mathematical insights from auction theory to generically identify the distribution of utility functions. In our setting, aggregate demand for each item is observable while demand for bundles is not. Nevertheless, our identification result allows us to recover the latter.

Original language	English (US)
Pages (from-to)	428-458
Number of pages	31
Journal	Journal of Economic Theory
Volume	153
Issue number	1
DOIs	https://doi.org/10.1016/j.jet.2014.07.009
State	Published - Sep 2014

Bibliographical note

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Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Combinatorial auctions
Combinatorial valuations
Distribution of utility functions
Gross substitutes
Identification
Submodularity

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KW - Distribution of utility functions

KW - Gross substitutes

KW - Identification

KW - Submodularity

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Identifying combinatorial valuations from aggregate demand

Abstract

Bibliographical note

Keywords

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