Identifying combinatorial valuations from aggregate demand

Itai Sher, Kyoo il Kim

Research output: Contribution to journalArticlepeer-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 languageEnglish (US)
Pages (from-to)428-458
Number of pages31
JournalJournal of Economic Theory
Volume153
Issue number1
DOIs
StatePublished - Sep 2014

Bibliographical note

Copyright:
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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