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Simulation and Estimation of Hedonic Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Heckman, James
Matzkin, Rosa
Nesheim, Lars
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Making use of restrictions imposed by equilibrium, theoretical progress has been made on the nonparametric and semiparametric estimation and identification of scalar additive hedonic models (Ekeland, Heckman, and Nesheim, 2002) and scalar nonadditive hedonic models (Heckman, Matzkin, and Nesheim, 2002). However, little is known about the practical aspects of estimating such models or of the characteristics of equilibrium in such models. This paper presents computational and analytical results that fill some of these gaps. We simulate and estimate examples of equilibrium in the additive hedonic models and provide evidence on the performance of several estimation techniques. We also simulate examples of equilibria in nonadditive models and provide evidence on the performance of the nonadditive estimation techniques developed in Heckman, Matzkin, and Nesheim (2002).
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Paper provided by CESifo GmbH in its series CESifo Working Paper Series with number
CESifo Working Paper No. 1014.
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Date of creation: 2003Date of revision:
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Keywords: hedonic models non-parametric methods simulation Monte Carlo additive models nonadditive models Other versions of this item:
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
This paper has been announced in the following NEP Reports :
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