TY  - JOUR
AU  - Heckman,James J.
AU  - Matzkin,Rosa L.
AU  - Nesheim,Lars
TI  - Nonparametric Identification and Estimation of Nonadditive Hedonic Models
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 15226
PY  - 2009
Y2  - August 2009
UR  - http://www.nber.org/papers/w15226
L1  - http://www.nber.org/papers/w15226.pdf
N1  - Author contact info:
James J. Heckman
Department of Economics
The University of Chicago
1126 E. 59th Street
Chicago, IL 60637
Tel: 773/702-0634
Fax: 773/702-8490
E-Mail: jjh@uchicago.edu

Rosa Matzkin
Department of Economics
University of California, Los Angeles
8283 Bunche Hall
Mail Stop 147703
Los Angeles  CA  90095
E-Mail: matzkin@econ.ucla.edu

Lars Nesheim
Department of Economics
University College London
Gower Street
London WC1E 6BT
United Kingdom
E-Mail: l.nesheim@ucl.ac.uk
AB  - 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.
ER  -