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Econometrica Vol. 78 No. 5 2010

Nonparametric Identification and Estimation of Nonadditive Hedonic Models

James J. Heckman1,2; Rosa L. Matzkin3; Lars Nesheim4,5,6

1 American Bar Foundation · 2 University of Chicago · 3 University of California, Los Angeles · 4 Institute for Fiscal Studies · 5 Leverhulme Trust · 6 University College London

Abstract

This paper studies the identification and estimation of preferences and technologies in equilibrium hedonic models. In it, we identify nonparametric structural relationships with nonadditive heterogeneity. We determine what features of hedonic models can be identified from equilibrium observations in a single market under weak assumptions about the available information. We then consider use of additional information about structural functions and heterogeneity distributions. Separability conditions facilitate identification of consumer marginal utility and firm marginal product functions. We also consider how identification is facilitated using multimarket data.

DOI
10.3982/ecta6388
Volume
78
Issue
5
Pages
1569-1591
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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