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Parametric, Semiparametric, and Nonparametric Estimation of Characteristic Values within Mass Assessment and Hedonic Pricing Models

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  • Pace, R Kelley

Abstract

Parametric estimators, such as OLS, attain high efficiency for well-specified models. Nonparametric estimators greatly reduce specification error but at the cost of efficiency. Semiparametric estimators compromise between these dual goals of efficiency and specification error. Semiparametric estimators can assume general forms within classes of functional forms. This paper applies OLS, the kernel nonparametric regression estimator, and the semiparametric estimator of Powell, Stock, and Stoker (1989) to a data set, which should, based on theory and previous empirical work, yield positive coefficients. The semiparametric estimator, on average, displayed the performance most consistent with prior expectations followed by the nonparameter and parametric estimators. In addition, the paper shows how the semiparametric estimator can provide insights into the form of misspecification and suggest data transformations. Copyright 1995 by Kluwer Academic Publishers

Suggested Citation

  • Pace, R Kelley, 1995. "Parametric, Semiparametric, and Nonparametric Estimation of Characteristic Values within Mass Assessment and Hedonic Pricing Models," The Journal of Real Estate Finance and Economics, Springer, vol. 11(3), pages 195-217, November.
  • Handle: RePEc:kap:jrefec:v:11:y:1995:i:3:p:195-217
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    Cited by:

    1. Zhang, Heping, 2004. "Recursive Partitioning and Tree-based Methods," Papers 2004,30, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    2. repec:asg:wpaper:1006 is not listed on IDEAS
    3. Lall, Somik V. & Lundberg, Mattias, 2008. "What are public services worth, and to whom? Non-parametric estimation of capitalization in Pune," Journal of Housing Economics, Elsevier, vol. 17(1), pages 34-64, March.
    4. Palmquist, Raymond B., 2006. "Property Value Models," Handbook of Environmental Economics,in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 16, pages 763-819 Elsevier.
    5. Mulalic, Ismir & Rouwendal, Jan, 2015. "The impact of fixed and variable cost on automobile demand: Evidence from Denmark," Economics of Transportation, Elsevier, vol. 4(4), pages 227-240.
    6. ÜNsal ÖZdilek, 2011. "Land Value: Seven Major Questions in the Analysis of Urban Land Values," American Journal of Economics and Sociology, Wiley Blackwell, vol. 70(1), pages 30-49, January.
    7. Elena B. Pokryshevskaya & Evgeny A. Antipov, 2011. "Applying a CART-based approach for the diagnostics of mass appraisal models," Economics Bulletin, AccessEcon, vol. 31(3), pages 2521-2528.
    8. McMillen, Daniel P. & William Lester, T., 2003. "Evolving subcenters: employment and population densities in Chicago, 1970-2020," Journal of Housing Economics, Elsevier, vol. 12(1), pages 60-81, March.
    9. Hannonen Marko, 2014. "Urban Housing Policy Considerations: Perspectives from the Finnish Housing Market," Journal of Heterodox Economics, De Gruyter Open, vol. 1(2), pages 114-130, December.
    10. JPeter F. Colwell & Henry J. Munneke, 2003. "Estimating a Price Surface for Vacant Land in an Urban Area," Land Economics, University of Wisconsin Press, vol. 79(1), pages 15-28.
    11. Shimizu, Chihiro & Karato, Koji, 2016. "Property Price Index Theory and Estimation: A Survey," HIT-REFINED Working Paper Series 34, Institute of Economic Research, Hitotsubashi University.

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