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On the Determinants of House Value Volatility

Author

Listed:
  • Yu Zhou

    (Peking University)

  • Donald R. Haurin

    (Ohio State University)

Abstract

Few studies have analyzed the determinants of house value volatility at the level of individual houses. This paper uses two panels of the American Housing Survey covering 1974-2003 to test four hypotheses related to the determinants of house value volatility. The findings are that 1) house values at both ends of the quality distribution have greater variance than those with average quality levels, 2) the more atypical a house is, the greater the variance of house value, 3) the more highly "land leveraged" a house is, the greater the variance of its value, and 4) house values owned by minority households have greater variance than those of whites.

Suggested Citation

  • Yu Zhou & Donald R. Haurin, 2010. "On the Determinants of House Value Volatility," Journal of Real Estate Research, American Real Estate Society, vol. 32(4), pages 377-396.
    • Handle: RePEc:jre:issued:v:32:n:4:2010:p:377-396
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    Citations

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    Cited by:

    1. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2021. "High-Frequency Volatility Forecasting of US Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 283-317, February.
    2. Wang, Bingbing, 2022. "Housing market volatility under COVID-19: Diverging response of demand in luxury and low-end housing markets," Land Use Policy, Elsevier, vol. 119(C).
    3. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2022. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 64(4), pages 523-545, May.
    4. Gornall, Will & Strebulaev, Ilya A., 2018. "Financing as a supply chain: The capital structure of banks and borrowers," Journal of Financial Economics, Elsevier, vol. 129(3), pages 510-530.
    5. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2021. "What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 81-107, January.
    6. Rangan Gupta & Hardik A. Marfatia & Eric Olson, 2020. "Effect of uncertainty on U.S. stock returns and volatility: evidence from over eighty years of high-frequency data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(16), pages 1305-1311, September.
    7. Bourassa, Steven C. & Hoesli, Martin, 2022. "Hedonic, residual, and matching methods for residential land valuation," Journal of Housing Economics, Elsevier, vol. 58(PA).
    8. Kumhof, Michael & Tideman, Nicolaus & Hudson, Michael & Goodhart, Charles, 2021. "Post-Corona Balanced-Budget Super-Stimulus: The Case for Shifting Taxes onto Land," CEPR Discussion Papers 16652, C.E.P.R. Discussion Papers.

    More about this item

    JEL classification:

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

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