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Applying a CART-based approach for the diagnostics of mass appraisal models

  • Antipov, Evgeny
  • Pokryshevskaya, Elena

In this paper an approach for automatic detection of segments where a regression model significantly underperforms and for detecting segments with systematically under- or overestimated prediction is introduced. This segmentational approach is applicable to various expert systems including, but not limited to, those used for the mass appraisal. The proposed approach may be useful for various regression analysis applications, especially those with strong heteroscedasticity. It helps to reveal segments for which separate models or appraiser assistance are desirable. The segmentational approach has been applied to a mass appraisal model based on the Random Forest algorithm.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 27646.

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Date of creation: 01 Dec 2010
Date of revision:
Handle: RePEc:pra:mprapa:27646
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  1. Carlos Martins-Filho & Okmyung Bin, 2005. "Estimation of hedonic price functions via additive nonparametric regression," Empirical Economics, Springer, vol. 30(1), pages 93-114, January.
  2. George H. Lentz & Ko Wang, 1998. "Residential Appraisal and the Lending Process: A Survey of Issues," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 11-40.
  3. Elaine M. Worzala & Margarita Lenk & Ana Silva, 1995. "An Exploration of Neural Networks and Its Application to Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 185-202.
  4. Y.L. Lee & C. Jung & Y.Yeh Kuang, 2003. "Fair Evaluation of real Estate Value in Urban Area via Fuzzy Theory," ERES eres2003_198, European Real Estate Society (ERES).
  5. Han-Bin Kang & Alan K. Reichert, 1991. "An Empirical Analysis of Hedonic Regression and Grid-Adjustment Techniques in Real Estate Appraisal," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(1), pages 70-91.
  6. 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.
  7. Nghiep Nguyen & Al Cripps, 2001. "Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks," Journal of Real Estate Research, American Real Estate Society, vol. 22(3), pages 313-336.
  8. Laakso, Seppo, . "Urban Housing Prices and the Demand for Housing Characteristics.A study on housing prices and the willingness to pay for housing characterstics and local public goods in the Helsinki Metropolitan Area," ETLA A, The Research Institute of the Finnish Economy, number 27.
  9. Carlo Bagnoli & Halbert C. Smith, 1998. "The Theory of Fuzzy Logic and its Application to Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 16(2), pages 169-200.
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