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Random Disaggregate Appraisal Error in Commercial Property: Evidence from the Russell-NCREIF Database

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Abstract

This paper examines the magnitude of random disaggregate appraisal valuation error in institutional-grade commercial property. Unlike previous transactions-based studies of appraisal error, we use a much larger database that is not restricted to sold properties, and we employ a methodology that focuses on appraisal error rather than the difference between transaction price and previous appraised value. Our model gives a point estimate of 11.07% for the standard error of appraisals in the Russell-NCREIF database, with a robust range of 6% to 13%.

Suggested Citation

  • David M. Geltner & Richard A. Graff & Michael S. Young, 1994. "Random Disaggregate Appraisal Error in Commercial Property: Evidence from the Russell-NCREIF Database," Journal of Real Estate Research, American Real Estate Society, vol. 9(4), pages 403-420.
    • Handle: RePEc:jre:issued:v:9:n:4:1994:p:403-420
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    Cited by:

    1. Erwin Diewert & Chihiro Shimizu, 2020. "Alternative Land‐Price Indexes for Commercial Properties in Tokyo," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 784-824, December.
    2. Chihiro Shimizu & Kiyohiko Nishimura, 2007. "Pricing Structure in Tokyo Metropolitan Land Markets and its Structural Changes: Pre-bubble, Bubble, and Post-bubble Periods," The Journal of Real Estate Finance and Economics, Springer, vol. 35(4), pages 475-496, November.
    3. W. Erwin Diewert & Kiyohiko G. Nishimura & Chihiro Shimizu & Tsutomu Watanabe, 2020. "The System of National Accounts and Alternative Approaches to the Construction of Commercial Property Price Indexes," Advances in Japanese Business and Economics, in: Property Price Index, chapter 0, pages 181-219, Springer.

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    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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