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Nonparametric Identification and Estimation of Nonadditive Hedonic Models

Author

Listed:
  • Heckman, James J.

    (University of Chicago)

  • Matzkin, Rosa

    (University of California, Los Angeles)

  • Nesheim, Lars

    (University College London)

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.

Suggested Citation

  • Heckman, James J. & Matzkin, Rosa & Nesheim, Lars, 2009. "Nonparametric Identification and Estimation of Nonadditive Hedonic Models," IZA Discussion Papers 4329, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp4329
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    1. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2004. "Identification and Estimation of Hedonic Models," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 60-109, February.
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    3. Kahn, Shulamit & Lang, Kevin, 1988. "Efficient Estimation of Structural Hedonic Systems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(1), pages 157-166, February.
    4. Pierre-André Chiappori & Robert McCann & Lars Nesheim, 2010. "Hedonic price equilibria, stable matching, and optimal transport: equivalence, topology, and uniqueness," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(2), pages 317-354, February.
    5. Leeth, John D & Ruser, John, 2003. "Compensating Wage Differentials for Fatal and Nonfatal Injury Risk by Gender and Race," Journal of Risk and Uncertainty, Springer, vol. 27(3), pages 257-277, December.
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    8. Epple, Dennis, 1987. "Hedonic Prices and Implicit Markets: Estimating Demand and Supply Functions for Differentiated Products," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 59-80, February.
    9. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
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    11. Rosa L. Matzkin, 2008. "Identification in Nonparametric Simultaneous Equations Models," Econometrica, Econometric Society, vol. 76(5), pages 945-978, September.
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    More about this item

    Keywords

    identification; nonadditive models; non-parametric estimation; hedonic models; hedonic equilibrium;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D41 - Microeconomics - - Market Structure, Pricing, and Design - - - Perfect Competition
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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