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Real estate valuation according to standardized methods: An empirical analysis

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  • Schulz, Rainer
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    Abstract

    Appraisals are needed for decision-making and for performance evaluation. Knowledge on the accuracy of valuation methods is of general interest for banks and investors. We assess the accuracy of the German Regulation on Valuation with monthly data on appraisals and prices for commercial apartment houses in Berlin, Germany from 1980 to 2000. The appraisals are compared with outcomes of the simpler capitalization method and are ranked better according to several prediction error measures. Nonparametric density estimates give the error distributions and investors can decide which method is preferable. Eventually, we explain short-run deviations between prices and appraisals by incompletely appraised object-specific factors and by market indicators. --

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    Bibliographic Info

    Paper provided by Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes in its series SFB 373 Discussion Papers with number 2002,55.

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    Date of creation: 2002
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    Handle: RePEc:zbw:sfb373:200255

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    Related research

    Keywords: Appraisal Accuracy; Discounted Value; House Prices; State Space Model;

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    References

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    1. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
    2. Mark G. Dotzour, 1988. "Quantifying Estimation Bias in Residential Appraisal," Journal of Real Estate Research, American Real Estate Society, vol. 3(3), pages 1-11.
    3. Schulz, Rainer & Werwatz, Axel, 2002. "A simple state space model of house prices," SFB 373 Discussion Papers 2002,39, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    4. Shiller, Robert J & Weiss, Allan N, 1999. "Evaluating Real Estate Valuation Systems," The Journal of Real Estate Finance and Economics, Springer, vol. 18(2), pages 147-61, March.
    5. Gourieroux,Christian & Monfort,Alain, 1997. "Time Series and Dynamic Models," Cambridge Books, Cambridge University Press, number 9780521411462, October.
    6. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
    7. Gourieroux,Christian & Monfort,Alain, 1997. "Time Series and Dynamic Models," Cambridge Books, Cambridge University Press, number 9780521423083, October.
    8. repec:cup:cbooks:9780521424080 is not listed on IDEAS
    9. Ling, David C & Naranjo, Andy, 1997. "Economic Risk Factors and Commercial Real Estate Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 14(3), pages 283-307, May.
    10. Steven N. Kaplan & Richard S. Ruback, 1994. "The Valuation of Cash Flow Forecasts: An Empirical Analysis," NBER Working Papers 4724, National Bureau of Economic Research, Inc.
    11. J. Hirshleifer, 1958. "On the Theory of Optimal Investment Decision," Journal of Political Economy, University of Chicago Press, vol. 66, pages 329.
    12. Chinloy, Peter & Cho, Man & Megbolugbe, Isaac F, 1997. "Appraisals, Transaction Incentives, and Smoothing," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 89-111, Jan.-Marc.
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