Business Intelligence

Nonparametric Identification And Estimation Of Nonadditive Hedonic Models

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Executive Summary

This paper studies the identification and estimation of preferences and technologies in equilibrium hedonic models. In it, the authors identify nonparametric structural relationships with nonadditive heterogeneity. They determine what features of hedonic models can be identified from equilibrium observations in a single market under weak assumptions about the available information. They 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. They also consider how identification is facilitated using multimarket data.

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