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SSRN Electronic Journal
Article . 2009 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2009
Data sources: EconStor
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Nonparametric Identification and Estimation of Nonadditive Hedonic Models

Authors: Heckman, James J.; Matzkin, Rosa; Nesheim, Lars;

Nonparametric Identification and Estimation of Nonadditive Hedonic Models

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

Nichtparametrisches Verfahren, Unvollkommene Information, ddc:330, hedonic equilibrium, Hedonic models, non-parametric estimation, hedonic models, hedonic equilibrium, nonadditive models, identification, non-parametric estimation, Offenbarte Präferenzen, Hedonischer Preis, identification, C14, D58, Nutzentheorie, D41, nonadditive models, jel: jel:D41, jel: jel:C14, jel: jel:D58

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Top 10%
bronze