Nonparametric Identification and Estimation of Nonadditive Hedonic Models

By James J. Heckman, Rosa L. Matzkin, L. Nesheim. Social Science Research Network, 2009

144 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/b1b3dd23a0851da108892f277793cd21dd8a2069

Citations in the corpus

• Nonlinear Pricing with Product Customization in Mobile Service Industry (2011, unknown): “Heckman, Matzkin, and Nesheim (2010) also assume that the consumer’s unobservable heterogeneity is independent of his observed characteristics.”