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Bias in Appraisal-Based Returns

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  • David Geltner

Abstract

This note quantifies and extends Giliberto's [AREUEA Journal 16(1)] analysis of bias in appraisal-based returns. An important clarification and distinction is made, defining two different perspectives from which one may view appraisal return bias. The Giliberto analysis addressed bias in the holding period return only. Here, after reviewing and extending Giliberto's analysis in this regard, bias is considered from another perspective, that of the arithmetic mean of a time-series of appraisal-based returns. The two types of bias are likely to be of opposite sign, thereby possibly offsetting one another, so that we may often observe very little bias in the means of empirical appraisal-based returns time-series. Copyright American Real Estate and Urban Economics Association.

Suggested Citation

  • David Geltner, 1989. "Bias in Appraisal-Based Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 17(3), pages 338-352.
  • Handle: RePEc:bla:reesec:v:17:y:1989:i:3:p:338-352
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    References listed on IDEAS

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    1. S. Michael Giliberto, 1988. "A Note on the use of Appraisal Data in Indexes of Performance Measurement," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 16(1), pages 77-83.
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    Cited by:

    1. Mei, Bin, 2015. "Illiquidity and risk of commercial timberland assets in the United States," Journal of Forest Economics, Elsevier, vol. 21(2), pages 67-78.
    2. Xudong An & Jeffrey D. Fisher & David Geltner, 2016. "Cash Flow Performance of Fannie Mae Multifamily Real Estate: Evidence from Repeated NOI and EGI Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 52(4), pages 512-542, May.
    3. Vicente Royuela & Miguel A. Vargas, 2009. "Defining Housing Market Areas Using Commuting and Migration Algorithms: Catalonia (Spain) as a Case Study," Urban Studies, Urban Studies Journal Limited, vol. 46(11), pages 2381-2398, October.
    4. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working papers 2010-04, University of Connecticut, Department of Economics, revised Dec 2010.
    5. Leon Shilton, 2000. "Random Walks and the Cointegration of the ACLI and NCREIF," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(3), pages 435-465.
    6. Sampagnaro, Gabriele & Battaglia, Francesca, 2010. "Reliability and Heterogeneity of Real Estate Indexes and their Impact on the Predictability of Returns," MPRA Paper 23378, University Library of Munich, Germany.
    7. Robert Edelstein & Daniel Quan, 2006. "How Does Appraisal Smoothing Bias Real Estate Returns Measurement?," The Journal of Real Estate Finance and Economics, Springer, vol. 32(1), pages 41-60, February.
    8. Alain Chaney & Martin Hoesli, 2015. "Transaction-Based and Appraisal-Based Capitalization Rate Determinants," International Real Estate Review, Asian Real Estate Society, vol. 18(1), pages 1-43.
    9. Gerald R. Brown & Seow-Eng Ong, 2001. "Estimating serial cross-correlation in real estate returns," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 381-387.
    10. Benefield, Justin D. & Anderson, Randy I. & Zumpano, Leonard V., 2009. "Performance differences in property-type diversified versus specialized real estate investment trusts (REITs)," Review of Financial Economics, Elsevier, vol. 18(2), pages 70-79, April.
    11. Shaun A. Bond & Soosung Hwang & Gianluca Marcato, 2006. "An Analysis of Commercial Real Estate Returns: Is there a Smoothing Puzzle?," Real Estate & Planning Working Papers rep-wp2006-17, Henley Business School, Reading University.
    12. Constantinescu, Mihnea & Francke, Marc, 2013. "The historical development of the Swiss rental market – A new price index," Journal of Housing Economics, Elsevier, vol. 22(2), pages 135-145.

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