Evaluating Real Estate Valuation Systems
AbstractA framework for comparing real estate valuation systems (including automated valuation models (AVMs) and current appraisal methods) is proposed. The density estimation and profit simulation (DEPS) method measures quality of a valuation system by simulating benefits to the mortgage lender who uses this method in mortgage underwriting to limit mortgage portfolio losses due to default. Related simple measures relevant to the selection of a valuation system are also discussed: skewness of the distribution of errors, correlation of valuation errors with current selling price errors, correlation of errors of the valuation system with errors of valuation systems used by competing mortgage lenders, and other measures. Copyright 1999 by Kluwer Academic Publishers
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Bibliographic InfoArticle provided by Springer in its journal Journal of Real Estate Finance & Economics.
Volume (Year): 18 (1999)
Issue (Month): 2 (March)
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Web page: http://www.springerlink.com/link.asp?id=102945
Other versions of this item:
- G20 - Financial Economics - - Financial Institutions and Services - - - General
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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- Robert J. Shiller, 2014. "Speculative Asset Prices," American Economic Review, American Economic Association, vol. 104(6), pages 1486-1517, June.
- Schulz, Rainer, 2002. "Real estate valuation according to standardized methods: An empirical analysis," SFB 373 Discussion Papers 2002,55, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Robert J. Shiller, 2014. "Speculative Asset Prices (Nobel Prize Lecture)," Cowles Foundation Discussion Papers 1936, Cowles Foundation for Research in Economics, Yale University.
- Rainer Schulz & Martin Wersing & Axel Werwatz, 2013. "Automated Valuation Modelling: A Specification Exercise," SFB 649 Discussion Papers SFB649DP2013-046, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Steven Peterson & Albert B. Flanagan, 2009. "Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal," Journal of Real Estate Research, American Real Estate Society, vol. 31(2), pages 147-164.
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