Evaluating Real Estate Valuation Systems
AbstractA framework for comparing real estate valuation systems (including automated valuation models (AVMs) and current appraisal methods) is proposed.
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Bibliographic InfoPaper provided by Yale - Economic Growth Center in its series Papers with number 983r.
Length: 14 pages
Date of creation: 1999
Date of revision:
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Postal: U.S.A.; YALE UNIVERSITY, ECONOMIC GROWTH CENTER, YALE STATION NEW-HAVEN CONNECTICUT 06520 U.S.A
Phone: (203) 432-3610
Fax: (203) 432-3898
Web page: http://www.econ.yale.edu/~egcenter/
More information through EDIRC
REAL ESTATE ; ECONOMIC MODELS;
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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- 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.
- 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.
- 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.
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