Identifying combinatorial valuations from aggregate demand
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DOI: 10.1016/j.jet.2014.07.009
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Cited by:
- Christopher P. Chambers & Federico Echenique, 2018. "A Characterization of Combinatorial Demand," Mathematics of Operations Research, INFORMS, vol. 43(1), pages 222-227, February.
- Fu Ouyang & Thomas T. Yang, 2023. "Semiparametric Discrete Choice Models for Bundles," Papers 2306.04135, arXiv.org, revised Nov 2023.
- Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.
- Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Discrete Choice Models for Bundles," Discussion Papers Series 625, School of Economics, University of Queensland, Australia.
- Iaria, Alessandro & ,, 2020. "Identification and Estimation of Demand for Bundles," CEPR Discussion Papers 14363, C.E.P.R. Discussion Papers.
- Ouyang, Fu & Yang, Thomas Tao & Zhang, Hanghui, 2020. "Semiparametric identification and estimation of discrete choice models for bundles," Economics Letters, Elsevier, vol. 193(C).
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More about this item
Keywords
Combinatorial valuations; Identification; Distribution of utility functions; Submodularity; Gross substitutes; Combinatorial auctions;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
- D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
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