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Housing sales and construction responses to COVID‐19: Evidence from shelter‐in‐place and eviction moratoria in the United States

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  • S. Sayantani

Abstract

The goal of this article is to analyze the county‐level impact of public policies related to COVID‐19 on the housing market in the United States. Aimed at reducing the spread of the virus, different states throughout the United States enacted nonpharmaceutical interventions (NPIs) such as shelter‐in‐place (SIP) and eviction moratoria, in different months and for varied stretches throughout 2020 and 2021. SIP orders could potentially limit the ability of home‐buyers and sellers to interact as well as they could pre‐COVID, introducing frictions in the process of selling houses. Prolonged and overlapping eviction moratoria could dampen the construction of multifamily units and encourage the landlords to sell rented‐out apartments. This article attempts to investigate if and how these interventions causally impacted the county‐level housing sales and building permits approval in the United States. The article estimates the average treatment effect of these orders using a traditional generalized difference‐in‐difference estimator and a recent variation of the estimator that is more suited to multiple treatment groups with staggered treatment introductions and withdrawals. The results show that SIP is associated with significantly smaller year‐on‐year changes in sales of single‐family houses, condominiums and the collection of all residences. Selective moratoria on eviction hearings and judgments are also found to be associated with smaller year‐on‐year changes in multifamily building permit approvals.

Suggested Citation

  • S. Sayantani, 2024. "Housing sales and construction responses to COVID‐19: Evidence from shelter‐in‐place and eviction moratoria in the United States," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(5), pages 1226-1262, September.
  • Handle: RePEc:bla:reesec:v:52:y:2024:i:5:p:1226-1262
    DOI: 10.1111/1540-6229.12507
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    1. Liu, Sitian & Su, Yichen, 2021. "The impact of the COVID-19 pandemic on the demand for density: Evidence from the U.S. housing market," Economics Letters, Elsevier, vol. 207(C).
    2. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    3. Imai, Kosuke & Kim, In Song, 2021. "On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data," Political Analysis, Cambridge University Press, vol. 29(3), pages 405-415, July.
    4. Jan K. Brueckner & Matthew E. Kahn & Gary C. Lin, 2023. "A New Spatial Hedonic Equilibrium in the Emerging Work-from-Home Economy?," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 285-319, April.
    5. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    6. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    7. Goodman-Bacon, Andrew & Marcus, Jan, 2020. "Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2), pages 153-158.
    8. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    9. Delventhal, Matthew J. & Kwon, Eunjee & Parkhomenko, Andrii, 2022. "JUE Insight: How do cities change when we work from home?," Journal of Urban Economics, Elsevier, vol. 127(C).
    10. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    11. Mr. Yunhui Zhao, 2020. "US Housing Market during COVID-19: Aggregate and Distributional Evidence," IMF Working Papers 2020/212, International Monetary Fund.
    12. Anjalika Nande & Justin Sheen & Emma L. Walters & Brennan Klein & Matteo Chinazzi & Andrei H. Gheorghe & Ben Adlam & Julianna Shinnick & Maria Florencia Tejeda & Samuel V. Scarpino & Alessandro Vespig, 2021. "The effect of eviction moratoria on the transmission of SARS-CoV-2," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    13. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
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