Abstract

http://ssrn.com/abstract=1729627
 
 

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Applying a CART-based Approach for the Diagnostics of Mass Appraisal Models


Evgeny Antipov


National Research University Higher School of Economics

Elena Pokryshevskaya


National Research University Higher School of Economics

December 22, 2010


Abstract:     
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.

Number of Pages in PDF File: 9

Keywords: CART, model diagnostics, mass appraisal, real estate, Random forest, heteroscedasticity

JEL Classification: L85, C14, C40, C49

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Date posted: December 22, 2010  

Suggested Citation

Antipov, Evgeny and Pokryshevskaya, Elena, Applying a CART-based Approach for the Diagnostics of Mass Appraisal Models (December 22, 2010). Available at SSRN: http://ssrn.com/abstract=1729627 or http://dx.doi.org/10.2139/ssrn.1729627

Contact Information

Evgeny Antipov (Contact Author)
National Research University Higher School of Economics ( email )
Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Elena Pokryshevskaya
National Research University Higher School of Economics ( email )
Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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References:  25

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