The Impact of the COVID-19 Pandemic on the Demand for Density: Evidence from the U.S. Housing Market

Liu, Sitian and Su, Yichen (2020): The Impact of the COVID-19 Pandemic on the Demand for Density: Evidence from the U.S. Housing Market.

Abstract

Cities are shaped by the strength of agglomeration and dispersion forces. We show that the COVID-19 pandemic has re-introduced disease transmission as a dispersion force in modern cities. We use detailed housing data to study the impact of the COVID-19 pandemic on the location demand for housing. We find that the pandemic has led to a greater decline in the demand for housing in neighborhoods with high population density. We further show that the reduced demand for density is partially driven by the diminished need of living close to jobs that are telework-compatible and the declining value of access to consumption amenities. Neighborhoods with high pre-COVID-19 home prices also see a greater drop in housing demand. While the national housing market partially recovered in June, we show that the negative effect of the pandemic on the demand for density persists, indicating that the change in the demand for density may last beyond an aggregate recovery of housing demand.

• Item Type: MPRA Paper
• Language: English
• Keywords: COVID-19, Pandemic, Density, City, Neighborhood, Housing, Location, Telework, Amenity
• Subjects: I - Health, Education, and Welfare > I1 - Health; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R3 - Real Estate Markets, Spatial Production Analysis, and Firm Location

References

Ahlfeldt, G., Redding, S., Sturm, D., and Wolf, N. (2015). The economics of density: Evidence from the Berlin wall. Econometrica, 83(6):2127-2189. DOI: https://doi.org/10.3982/ECTA10876.

Alexander, D. and Karger, E. (2020). Do stay-at-home orders cause people to stay at home? Effects of stay-at-home orders on consumer behavior. Federal Reserve Bank of Chicago Working Paper No. 2020-12, 20(138):138. DOI: https://doi.org/10.21033/wp-2020-12.

Allcott, H., Boxell, L., Conway, J., Ferguson, B., Gentzkow, M., and Goldman, B. (2020). Economic and health impacts of social distancing policies during the Coronavirus pandemic. Working Paper. DOI: https://dx.doi.org/10.2139/ssrn.3610422.

Atkinson, T., Dolmas, J., Christoffer, K., Koenig, E., Mertens, K., Murphy, A., and Yi, K.-M. (2020). Mobility and engagement following the SARS-Cov-2 outbreak. Working Paper. DOI: https://doi.org/10.24149/wp2014.

Autor, D. and Reynolds, E. (2020). The nature of work after the COVID crisis: Too few low-wage jobs.

Bartik, A., Cullen, Z., Glaeser, E., Luca, M., and Stanton, C. (2020). What jobs are being done at home during the COVID-19 crisis? Evidence from �rm-level surveys. Harvard Business School Working Paper, 20:138. DOI: https://dx.doi.org/10.2139/ssrn.3574741.

Bick, A., Blandin, A., and Mertens, K. (2020). Work from home after the COVID-19 outbreak. Federal Reserve Bank of Dallas Working Paper No. 2017. DOI: https://doi.org/10.24149/ wp2017.

Brueckner, J. (2011). Lecture on Urban Economics. MIT Press.

Chen, H., Qian, W., and Wen, Q. (2020). The impact of the COVID-19 pandemic on consumption: Learning from high frequency transaction data. Working paper. DOI: https://dx.doi.org/10. 2139/ssrn.3568574.

Chetty, R., Friedman, J., Hendren, N., Stepner, M., and the Opportunity Insights Team (2020). How did COVID-19 and stabilization policies affect spending and employment? A new real-time economic tracker based on private sector data. Working Paper. DOI: https://doi.org/10.3386/ w27431.

Cox, N., Ganong, P., Noel, P., Vavra, J., Wong, A., Farrell, D., and Greig, F. (2020). Initial impacts of the pandemic on consumer behavior: Evidence from linked income, spending, and savings data. Brookings Papers on Economic Activity, Conference Draft.

Dingel, J. and Neiman, B. (2020). How many jobs can be done at home? Journal of Public Economics, 189. DOI: https://doi.org/10.1016/j.jpubeco.2020.104235.

Glaeser, E. (2011). Triumph of the city: How our greatest invention makes us richer, smarter, greener, healthier, and happier. New York: Penguin Press.

Glaeser, E. and Gotllieb, J. (2000). The wealth of cities: Agglomeration economies and spatial equilibrium in the united states. Journal of Economic Literature, 47(4):983-1028.

Glaeser, E., Kolko, J., and Saiz, A. (2000). Consumer city. Journal of Economic Geography, 1(1):27- 50. DOI: https://doi.org/10.1093/jeg/1.1.27.

Holian, M. and Kahn, M. (2015). Household carbon emissions from driving and center city quality of life. Ecological Economics, 116:362-368. DOI: https://doi.org/10.1016/j.ecolecon.2015. 05.012.

Kurmann, A., Lale, E., and Ta, L. a. (2020). The impact of COVID-19 on small business employment and hours: Real-time estimates with homebase data. Working Paper.

Manson, S., Schroeder, J., Van Riper, D., and Ruggles, S. (2020). IPUMS National Historical Geographic Information System: Version 14.0 [Database]. Minneapolis, MN: IPUMS. 2019. DOI: http://doi.org/10.18128/D050.V14.0.

Mas, A. and Pallais, A. (2020). Alternative work arrangements. Annual Review of Economics. Forthcoming. DOI: http://doi.org/10.1257/aer.20161500.

Ruggles, S., Flood, S., Goeken, R., Grover, J., Meyer, E., Pacas, J., and Sobek, M. (2020). IPUMS USA: Version 10.0 [dataset]. Minneapolis, MN: IPUMS, 2020. DOI: https://doi.org/10.18128/ D010.V10.0.

Su, Y. (2020). Working from home during a pandemic: It's not for everyone. https://www.dallasfed.org/research/economics/2020/0407.