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Bias and Precision of Estimates of Housing Investment Risk Based on Repeat-Sales Indices: A Simulation Analysis

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  • Geltner, David

Abstract

A simulation analysis is reported which examines the bias and precision of estimates of housing investment risk based on small sample indices of housing returns. The trade-off between smoothing bias (due to temporal aggregation in the index) and noise bias (induced by random estimation error) is examined in the housing return total volatility, beta, and autocorrelation statistics of the index returns. The study compares the performance of three different specifications of the repeat-sales index, under assumptions of either an informationally efficient or inefficient housing market, and at two levels of estimation data availability. Findings suggest that regression-based repeated-measures indices may be useful at a more micro-level (e.g., at the neighborhood level or for specific housing types) than has hitherto been employed. Copyright 1997 by Kluwer Academic Publishers

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  • Geltner, David, 1997. "Bias and Precision of Estimates of Housing Investment Risk Based on Repeat-Sales Indices: A Simulation Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 155-171, Jan.-Marc.
    • Handle: RePEc:kap:jrefec:v:14:y:1997:i:1-2:p:155-71
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    Cited by:

    1. Francke, Marc & Korevaar, Matthijs, 2021. "Housing markets in a pandemic: Evidence from historical outbreaks," Journal of Urban Economics, Elsevier, vol. 123(C).
    2. Sheharyar Bokhari & David Geltner, 2012. "Estimating Real Estate Price Movements for High Frequency Tradable Indexes in a Scarce Data Environment," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 522-543, August.
    3. Liang Peng, 2001. "A New Approach of Valuing Illiquid Asset Portfolios," Yale School of Management Working Papers ysm175, Yale School of Management, revised 01 Aug 2001.
    4. Jeff Fisher & David Geltner & Henry Pollakowski, 2007. "A Quarterly Transactions-based Index of Institutional Real Estate Investment Performance and Movements in Supply and Demand," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 5-33, January.
    5. Kuang Kuang Deng & Siu Kei Wong, 2023. "Revisiting the Autocorrelation of Real Estate Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 67(2), pages 243-263, August.
    6. William Goetzmann & Liang Peng & Jacqueline Yen, 2012. "The Subprime Crisis and House Price Appreciation," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 36-66, January.
    7. Dag Sommervoll, 2006. "Temporal Aggregation in Repeated Sales Models," The Journal of Real Estate Finance and Economics, Springer, vol. 33(2), pages 151-165, September.
    8. Jonathan D. Rose, 2022. "Reassessing the magnitude of housing price declines and the use of leverage in the Depressions of the 1890s and 1930s," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(4), pages 907-930, December.
    9. Guo, Xiaoyang & Zheng, Siqi & Geltner, David & Liu, Hongyu, 2014. "A new approach for constructing home price indices: The pseudo repeat sales model and its application in China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 20-38.
    10. William Goetzmann & Liang Peng, 2001. "The Bias of the RSR Estimator and the Accuracy of Some Alternatives," Yale School of Management Working Papers ysm174, Yale School of Management, revised 01 Mar 2001.

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