Nonparametric Identification and Estimation of Nonadditive Hedonic Models

James J. Heckman, Rosa Matzkin () and Lars Patrick Nesheim
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Rosa Matzkin: University of California, Los Angeles

No 4329, IZA Discussion Papers from Institute for the Study of Labor (IZA)

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.

Keywords: hedonic models; hedonic equilibrium; nonadditive models; identification; non-parametric estimation (search for similar items in EconPapers)
JEL-codes: C14 D41 D58 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ore
Date: 2009-07
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Working Paper: Nonparametric Identification and Estimation of Nonadditive Hedonic Models (2009)
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