The Donut Effect of COVID-19 on Cities
Open accessAbstract
Using data from the US Postal Service and Zillow, we quantify the effect of Covid- 19 on migration patterns and real estate markets within and across US cities. We find two key results. First, within large US cities, households and businesses have moved from the dense central business districts (CBDs) towards lower density suburban zip-codes. We label this the “Donut Effect” reflecting the movement of activity out of city centers to the suburban ring. Second, while this observed reallocation occurs within cities, we do not see major reallocation across cities. That is, there is less evidence for large-scale movement of activity from large US cities to smaller regional cities or towns. We rationalize these findings by noting that working patterns post pandemic will be primarily hybrid, with workers commuting to their business premises typically 3 days per week. This level of commuting is less than pre-pandemic, making suburbs relatively more popular, but too frequent to allow employees to leave the cities containing their employer.
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In US cities, Covid-19 has reduced housing rents and prices in central city locations relative to the suburbs.
“Gupta et al. (2021) and Ramani and Bloom (2021) show that, in US cities, Covid-19 has reduced housing rents and prices in central city locations relative to the suburbs”
From Effectiveness and supply effects of high-coverage rent control policies (2023) · cites this paper as Ramani and Bloom (2021)
The Introduction (p. 3) reports that rents and home-price growth in central business districts fell relative to lower-density areas in the largest 12 US metros. The Conclusion (p. 13) says there is no evidence of this effect in smaller cities, so the unqualified reference to US cities is broader than the paper's finding. (LLM, conf=0.86)
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Effectiveness and supply effects of high-coverage rent control policies
Jofre-Monseny, J., Martínez-Mazza, R., & Segú, M. (2023) · Regional Science and Urban Economics · doi:10.1016/j.regsciurbeco.2023.103916 · Cited by 31 · see citing works
- Authors
- Ramani, A., & Bloom, N.
- Affiliations
- Stanford University (US)
- National Bureau of Economic Research (US)
- Corresponding author
- Ramani, Arjun
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2021
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W3168706907
- Cited by
- 56
- References
- 0
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 8 · 2023: 19 · 2022: 15 · 2021: 4 · 2020: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Urban Studies › Urbanization and City Planning
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Regional Economics and Spatial Analysis
- Keywords
- COVID-19 pandemic, suburbanization, migration patterns, real estate market, central business district, hybrid work, commuting, American cities
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