EconStor >
Forschungsinstitut zur Zukunft der Arbeit (IZA), Bonn >
IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA) >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/36351
  
Title:Nonparametric identification and stimation of nonadditive hedonic Models PDF Logo
Authors:Heckman, James Joseph
Matzkin, Rosa Liliana
Nesheim, Lars
Issue Date:2009
Series/Report no.:IZA Discussion Papers 4329
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.
Subjects:Hedonic models
hedonic equilibrium
nonadditive models
identification
non-parametric estimation
JEL:C14
D41
D58
Persistent Identifier of the first edition:urn:nbn:de:101:1-2009090135
Document Type:Working Paper
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

Files in This Item:
File Description SizeFormat
609425994.pdf244.7 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/36351

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.