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What Flattened the House-Price Gradient? The Role of Work-from-Home and Decreased Commuting Cost

Author

Listed:
  • Jinwon Kim

    (Department of Economics, Sogang University, Seoul, Korea)

  • Dede Long

    (Department of Economics, California State University, Long Beach)

Abstract

During the COVID-19 pandemic, house prices increased more in the suburbs than in city centers, flattening house-price gradients in most US cities.This paper explains this phe- nomenon, focusing on the pandemic-induced adoption of work-from-home(WFH)practices. Our theoretical framework shows that WFH reduces not only the frequency of physical com- mutes in a city but also the time-cost of individual commutes by lowering urban congestion levels, both of which alter residents’ locational preferences and consequently the bid-price for housing. To provide empirical support for our theoretical hypotheses, we leverage granular Google Maps travel time data to develop a novel measure of the change in time-cost induced by the COVID-19 shock, along with a county-level WFH potential index, to explain the shift in house-price gradients during the pandemic. We find that the time-cost change and the city-level WFH potential play a significant role in flattening the house-price gradients, contributing equally to the combined effects.

Suggested Citation

  • Jinwon Kim & Dede Long, 2022. "What Flattened the House-Price Gradient? The Role of Work-from-Home and Decreased Commuting Cost," Working Papers 2205, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    • Handle: RePEc:sgo:wpaper:2205
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    References listed on IDEAS

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    1. David Albouy & Gabriel Ehrlich & Minchul Shin, 2018. "Metropolitan Land Values," The Review of Economics and Statistics, MIT Press, vol. 100(3), pages 454-466, July.
    2. 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).
    3. Gupta, Arpit & Mittal, Vrinda & Peeters, Jonas & Van Nieuwerburgh, Stijn, 2022. "Flattening the curve: Pandemic-Induced revaluation of urban real estate," Journal of Financial Economics, Elsevier, vol. 146(2), pages 594-636.
    4. Nicholas Bloom & Ruobing Han & James Liang, 2022. "How hybrid working from home works out," POID Working Papers 059, Centre for Economic Performance, LSE.
    5. Arjun Ramani & Nicholas Bloom, 2021. "The Donut Effect of Covid-19 on Cities," NBER Working Papers 28876, National Bureau of Economic Research, Inc.
    6. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    7. John Mondragon & Johannes F. Wieland, 2022. "Housing Demand and Remote Work," Working Paper Series 2022-11, Federal Reserve Bank of San Francisco.
    8. 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).
    9. McMillen, Daniel P., 2003. "The return of centralization to Chicago: using repeat sales to identify changes in house price distance gradients," Regional Science and Urban Economics, Elsevier, vol. 33(3), pages 287-304, May.
    10. Efthymia Kyriakopoulou & Pierre M Picard, 2023. "The Zoom city: working from home, urban productivity and land use," Journal of Economic Geography, Oxford University Press, vol. 23(6), pages 1397-1437.
    11. Jan K. Brueckner & S. Sayantani, 2022. "Intercity Impacts of Work-from-Home with Both Remote and Non-Remote Workers," CESifo Working Paper Series 9793, CESifo.
    12. Brueckner, Jan K. & Helsley, Robert W., 2011. "Sprawl and blight," Journal of Urban Economics, Elsevier, vol. 69(2), pages 205-213, March.
    13. Augustus Kmetz & John Mondragon & Johannes F. Wieland, 2022. "Remote Work and Housing Demand," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2022(26), pages 1-5, September.
    14. Rosenthal, Stuart S. & Strange, William C. & Urrego, Joaquin A., 2022. "JUE insight: Are city centers losing their appeal? Commercial real estate, urban spatial structure, and COVID-19," Journal of Urban Economics, Elsevier, vol. 127(C).
    15. Huang, Naqun & Li, Jing & Ross, Amanda, 2018. "The impact of the cost of car ownership on the house price gradient in Singapore," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 160-171.
    16. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    17. Brueckner, Jan K., 1987. "The structure of urban equilibria: A unified treatment of the muth-mills model," Handbook of Regional and Urban Economics, in: E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 2, chapter 20, pages 821-845, Elsevier.
    18. Brueckner, Jan K & Fansler, David A, 1983. "The Economics of Urban Sprawl: Theory and Evidence on the Spatial Sizes of Cities," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 479-482, August.
    19. McGrath, Daniel T., 2005. "More evidence on the spatial scale of cities," Journal of Urban Economics, Elsevier, vol. 58(1), pages 1-10, July.
    20. Tse, Chung Yi & Chan, Alex W. H., 2003. "Estimating the commuting cost and commuting time property price gradients," Regional Science and Urban Economics, Elsevier, vol. 33(6), pages 745-767, October.
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    More about this item

    Keywords

    Inflation; Unemployment; Equity Prices; SearchModels;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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