IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-21-00625.html
   My bibliography  Save this article

Mobility during COVID-19 by Demographics

Author

Listed:
  • Loris Rubini

    (University of New Hampshire)

  • John Washburn

    (University of New Hampshire)

Abstract

Mobility outside residential areas dropped considerably during COVID-19. We study how patterns differed across income, race and ethnicity, gender, and political leaning. We find that mobility dropped more in counties with relatively more wealth, more Whites or Asians, and more Democrats; less where there are more Blacks or Hispanics; and independently of the share of women. We conclude with a discussion of potential explanations. These results shed light on the reasons why COVID-19 impacts different individuals so differently.

Suggested Citation

  • Loris Rubini & John Washburn, 2022. "Mobility during COVID-19 by Demographics," Economics Bulletin, AccessEcon, vol. 42(3), pages 1591-1597.
  • Handle: RePEc:ebl:ecbull:eb-21-00625
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2022/Volume42/EB-22-V42-I3-P132.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karabulut, Gokhan & Zimmermann, Klaus F. & Bilgin, Mehmet Huseyin & Doker, Asli Cansin, 2021. "Democracy and COVID-19 outcomes," Economics Letters, Elsevier, vol. 203(C).
    2. Maloney,William F. & Taskin,Temel, 2020. "Determinants of Social Distancing and Economic Activity during COVID-19 : A Global View," Policy Research Working Paper Series 9242, The World Bank.
    3. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.
    2. Carmen Aina & Irene Brunetti & Chiara Mussida & Sergio Scicchitano, 2023. "Distributional effects of COVID-19," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 221-256, March.
    3. Oikonomou, Myrto & Pierri, Nicola & Timmer, Yannick, 2023. "IT shields: Technology adoption and economic resilience during the COVID-19 pandemic," Labour Economics, Elsevier, vol. 81(C).
    4. Ainaa, Carmen & Brunetti, Irene & Mussida, Chiara & Scicchitano, Sergio, 2021. "Who lost the most? Distributive effects of COVID-19 pandemic," GLO Discussion Paper Series 829, Global Labor Organization (GLO).
    5. Gagnon, Joseph E. & Kamin, Steven B. & Kearns, John, 2023. "The impact of the COVID-19 pandemic on global GDP growth," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    6. Piotr Lewandowski & Katarzyna Lipowska & Mateusz Smoter, 2022. "Working from home during a pandemic – a discrete choice experiment in Poland," IBS Working Papers 03/2022, Instytut Badan Strukturalnych.
    7. Lewandowski, Piotr & Lipowska, Katarzyna & Smoter, Mateusz, 2023. "Mismatch in preferences for working from home: Evidence from discrete choice experiments with workers and employers," Ruhr Economic Papers 1026, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    9. Juan C. Palomino & Juan G. Rodríguez & Raquel Sebastian, 2023. "The COVID-19 shock on the labour market: poverty and inequality effects across Spanish regions," Regional Studies, Taylor & Francis Journals, vol. 57(5), pages 814-828, May.
    10. David Baqaee & Emmanuel Farhi, 2020. "Nonlinear Production Networks with an Application to the Covid-19 Crisis," NBER Working Papers 27281, National Bureau of Economic Research, Inc.
    11. Graham, James & Ozbilgin, Murat, 2021. "Age, industry, and unemployment risk during a pandemic lockdown," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    12. Basso, Gaetano & Boeri, Tito & Caiumi, Alessandro & Paccagnella, Marco, 2020. "The New Hazardous Jobs and Worker Reallocation," IZA Discussion Papers 13532, Institute of Labor Economics (IZA).
    13. Kouki, Amairisa, 2023. "Beyond the “Comforts” of work from home: Child health and the female wage penalty," European Economic Review, Elsevier, vol. 157(C).
    14. Nizamani, Sarah & Waheed, Muhammad Shahid, 2020. "Poverty and Inequality amid COVID-19 – Evidence from Pakistan’s Labour Market," MPRA Paper 100422, University Library of Munich, Germany.
    15. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    16. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    17. Matthias Dütsch, 2022. "COVID-19 and the labour market: What are the working conditions in critical jobs?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-17, December.
    18. Brum, Matias & De Rosa, Mauricio, 2021. "Too little but not too late: nowcasting poverty and cash transfers’ incidence during COVID-19’s crisis," World Development, Elsevier, vol. 140(C).
    19. Filippos Petroulakis, 2023. "Task Content and Job Losses in the Great Lockdown," ILR Review, Cornell University, ILR School, vol. 76(3), pages 586-613, May.
    20. Mirko Licchetta & Giovanni Mattozzi & Rafal Raciborski & Rupert Willis, 2022. "Economic Adjustment in the Euro Area and the United States during the COVID-19 Crisis," European Economy - Discussion Papers 160, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

    More about this item

    Keywords

    COVID-19; Mobility; Social Distancing; Income inequality; Racial Inequality;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • D1 - Microeconomics - - Household Behavior

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-21-00625. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.