Econometrica: Sep, 2010, Volume 78, Issue 5
Nonparametric Identification and Estimation of Nonadditive Hedonic Models
James J. Heckman, Rosa L. Matzkin, Lars Nesheim
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.
Supplement to "Nonparametric identification and Estimation of Nonadditive Hedonic Models"
A PDF file providing extensions and proofs related to the manuscript.