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Residential land price fluctuations caused by behavioral changes on work-from-home based on COVID-19

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  • Katafuchi, Yuya

Abstract

This study analyzes how the behavioral changes associated with novel coronavirus disease (COVID-19) have affected residential land prices. Under previous pandemics (e.g., Spanish flu and SARS), avoidance of real estate transactions accompanied by going-out behavior and contraction of the real economy have caused a decrease in residential land prices. On the other hand, under the COVID-19 pandemic, it has been reported that residential land prices were stable or increasing due to behavioral changes such as the promotion of work-from-home (WFH). In order to confirm this phenomenon, this study first constructs a yearly panel dataset of Japan with the average published land price at the prefectural level as the dependent variable and treatment variables based on policy interventions for COVID-19, or WFH implementation. Second, this study uses the dataset to examine the relationship between land prices and changes in these conditions before and after the pandemic using the difference-in-difference method. The results of the above empirical analysis suggest that residential land prices were higher in prefectures where policy interventions related to COVID-19 were more robust than in other prefectures and where WFH was promoted more. This result supports the upward trend in residential land prices during the COVID-19 pandemic in the prefectures where policy interventions on COVID-19, including requests for WFH, are more implemented and where WFH is more prevalent.

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  • Katafuchi, Yuya, 2021. "Residential land price fluctuations caused by behavioral changes on work-from-home based on COVID-19," MPRA Paper 109310, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:109310
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    References listed on IDEAS

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    1. Maliszewska,Maryla & Mattoo,Aaditya & Van Der Mensbrugghe,Dominique, 2020. "The Potential Impact of COVID-19 on GDP and Trade : A Preliminary Assessment," Policy Research Working Paper Series 9211, The World Bank.
    2. Wong, Grace, 2008. "Has SARS infected the property market Evidence from Hong Kong," Journal of Urban Economics, Elsevier, vol. 63(1), pages 74-95, January.
    3. Yuya Katafuchi & Kenichi Kurita & Shunsuke Managi, 2021. "COVID-19 with Stigma: Theory and Evidence from Mobility Data," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 71-95, April.
    4. James Banks & Xiaowei Xu, 2020. "The Mental Health Effects of the First Two Months of Lockdown during the COVID‐19 Pandemic in the UK," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 685-708, September.
    5. Samuel Asumadu Sarkodie & Phebe Asantewaa Owusu, 2021. "Global assessment of environment, health and economic impact of the novel coronavirus (COVID-19)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5005-5015, April.
    6. Editorial, 2020. "Covid-19 and Climate Change," Journal, Review of Agrarian Studies, vol. 10(1), pages 5-6, January-J.
    7. Yoo, Sunbin & Managi, Shunsuke, 2020. "Global mortality benefits of COVID-19 action," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Francisco J. Buera & Roberto N. Fattal-Jaef & Hugo Hopenhayn & P. Andres Neumeyer & Yongseok Shin, 2021. "The Economic Ripple Effects of COVID-19," NBER Working Papers 28704, National Bureau of Economic Research, Inc.
    9. Bingbing Wang, 2021. "How Does COVID-19 Affect House Prices? A Cross-City Analysis," JRFM, MDPI, vol. 14(2), pages 1-15, January.
    10. Delgado Narro, Ausugto Ricardo & Katafuchi, Yuya, 2020. "COVID-19, state of emergency, and housing market," MPRA Paper 102456, University Library of Munich, Germany.
    11. Ka Shing Cheung & Chung Yim Yiu & Chuyi Xiong, 2021. "Housing Market in the Time of Pandemic: A Price Gradient Analysis from the COVID-19 Epicentre in China," JRFM, MDPI, vol. 14(3), pages 1-17, March.
    12. Francke, Marc & Korevaar, Matthijs, 2021. "Housing markets in a pandemic: Evidence from historical outbreaks," Journal of Urban Economics, Elsevier, vol. 123(C).
    13. Vincenzo Alfano & Salvatore Ercolano, 2020. "The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis," Applied Health Economics and Health Policy, Springer, vol. 18(4), pages 509-517, August.
    14. Frederic Boissay & Phurichai Rungcharoenkitkul, 2020. "Macroeconomic effects of Covid-19: an early review," BIS Bulletins 7, Bank for International Settlements.
    15. Yasuhiro Sato & Keita Shiba, 2021. "The impact of Tsunamis on land appraisals: Evidence from Western Japan," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-14, April.
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    Cited by:

    1. Nguyen Dinh Trung, 2024. "Factors Causing Fluctuations in Residential Land Prices: A Case Study in Tu Son City, Vietnam," International Real Estate Review, Global Social Science Institute, vol. 27(3), pages 413-440.
    2. Kurita, Kenichi & Katafuchi, Yuya, 2021. "COVID-19, stigma, and habituation: Theory and evidence from mobility data," MPRA Paper 110253, University Library of Munich, Germany.

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    More about this item

    Keywords

    COVID-19; Land price; Work-from-home; Telework;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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