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Simulation and Estimation of Hedonic Models

Author

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  • Heckman, James J.

    () (University of Chicago)

  • Matzkin, Rosa

    () (University of California, Los Angeles)

  • Nesheim, Lars

    () (University College London)

Abstract

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).

Suggested Citation

  • Heckman, James J. & Matzkin, Rosa & Nesheim, Lars, 2003. "Simulation and Estimation of Hedonic Models," IZA Discussion Papers 843, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp843
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    Cited by:

    1. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    2. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    3. Henrik Andersson, 2008. "Willingness to Pay for Car Safety: Evidence from Sweden," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(4), pages 579-594, December.
    4. Aaron Sojourner, "undated". "Partial identification of willingness-to-pay using shape restrictions with an application to the value of a statistical life," Working Papers 0110, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
    5. Howard, Peter H., 2012. "Climate Change, Vegetation, and Welfare: Estimating the Welfare Loss to Landowners of Marginal Shifts in Blue Oak Habitat," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124744, Agricultural and Applied Economics Association.
    6. Keane, Michael P., 2010. "Structural vs. atheoretic approaches to econometrics," Journal of Econometrics, Elsevier, vol. 156(1), pages 3-20, May.
    7. Brett Day & Ian Bateman & Iain Lake, 2007. "Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 211-232, May.
    8. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2003. "A Unified Framework for Estimating Preferences for Schools and Neighborhoods," Working Papers 872, Economic Growth Center, Yale University.

    More about this item

    Keywords

    hedonic models; nonparametric methods; simulation; Monte Carlo; additive models; nonadditive models;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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