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COVID-19 and Housing Prices: Australian Evidence with Daily Hedonic Returns

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  • Hu, Maggie R.
  • Lee, Adrian D.
  • Zou, Dihan

Abstract

Using daily hedonic housing price index for five Australian capital cities, we document a negative relationship between prior COVID-19 cases and daily housing returns. Specifically, the daily housing return drops by 0.35 basis points or 1.26 percentage points annually for every doubling of newly confirmed COVID-19 cases in a state. We also examine the effect of government lockdown orders on housing returns and find insignificant results. These findings are robust under alternative pandemic proxies such as total active COVID-19 cases and other model specifications. Overall, our paper contributes to the literature on the geographic spread of pandemics and real estate prices.

Suggested Citation

  • Hu, Maggie R. & Lee, Adrian D. & Zou, Dihan, 2021. "COVID-19 and Housing Prices: Australian Evidence with Daily Hedonic Returns," Finance Research Letters, Elsevier, vol. 43(C).
    • Handle: RePEc:eee:finlet:v:43:y:2021:i:c:s1544612321000416
    DOI: 10.1016/j.frl.2021.101960
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    Cited by:

    1. Yanke Dai & Yangfei Xu, 2022. "Cheating under Regulation: Evidence from “Yin-and-Yang” Contracts on Beijing’s Housing Market," Sustainability, MDPI, vol. 14(20), pages 1-29, October.
    2. Xinba Li & Chihwa Kao, 2022. "Spatial Analysis and Modeling of the Housing Value Changes in the U.S. during the COVID-19 Pandemic," JRFM, MDPI, vol. 15(3), pages 1-25, March.
    3. Yanotti, Maria B. & Kangogo, Moses & Wright, Danika & Sarkar, Somwrita & Lyu, Fei, 2024. "House price dynamics and internal migration across Australia," SocArXiv r5eg2, Center for Open Science.
    4. Iyer, Subramanian Rama & Simkins, Betty J., 2022. "COVID-19 and the Economy: Summary of research and future directions," Finance Research Letters, Elsevier, vol. 47(PB).
    5. Rowley, Steven & Brierty, Ryan & Perugia, Francesca & Rahman, Habib & Singh, Ranjodh & Swapan, Mohammad & Taylor, Elizabeth, 2023. "The new normal: changed patterns of dwelling demand and supply," SocArXiv t85rj, Center for Open Science.
    6. Raul-Tomas Mora-Garcia & Maria-Francisca Cespedes-Lopez & V. Raul Perez-Sanchez, 2022. "Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times," Land, MDPI, vol. 11(11), pages 1-32, November.
    7. Doruk, Ömer Tuğsal & Konuk, Serhat & Atici, Rümeysa, 2021. "Short-term working allowance and firm risk in the post-COVID-19 period: Novel matching evidence from an emerging market," Finance Research Letters, Elsevier, vol. 43(C).
    8. Gill, Balbinder Singh, 2024. "COVID-19 mortality risk premium and the interest rate on mortgage loans," International Review of Financial Analysis, Elsevier, vol. 93(C).
    9. Sławomir Kalinowski & Aleksandra Łuczak & Adam Koziolek, 2022. "The Social Dimension of Security: The Dichotomy of Respondents’ Perceptions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    10. Xinba Li & Chuanrong Zhang, 2021. "Did the COVID-19 Pandemic Crisis Affect Housing Prices Evenly in the U.S.?," Sustainability, MDPI, vol. 13(21), pages 1-28, November.
    11. Hakan Yilmazkuday, 2023. "COVID-19 and housing prices: evidence from U.S. county-level data," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(2), pages 241-263, August.

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    More about this item

    Keywords

    COVID-19; Lockdown; Stay at home orders; Housing prices;
    All these keywords.

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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