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Mobility under the COVID-19 Pandemic: Asymmetric Effects across Gender and Age

Author

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  • Caselli, Francesca
  • Grigoli, Francesco
  • Sandri, Damiano
  • Spilimbergo, Antonio

Abstract

Overall mobility declined during the COVID-19 pandemic because of government lockdowns and voluntary social distancing. Yet, aggregate data mask important heterogeneous effects across segments of the population. Using unique mobility indicators based on anonymized and aggregate data provided by Vodafone for Italy, Portugal, and Spain, we find that lockdowns had a larger impact on the mobility of women and younger cohorts. Younger people also experienced a sharper drop in mobility in response to rising COVID-19 infections. Our findings, which are consistent across estimation methods and robust to a variety of tests, warn about a possible widening of gender and inter-generational inequality.

Suggested Citation

  • Caselli, Francesca & Grigoli, Francesco & Sandri, Damiano & Spilimbergo, Antonio, 2021. "Mobility under the COVID-19 Pandemic: Asymmetric Effects across Gender and Age," GLO Discussion Paper Series 753, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:753
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    Cited by:

    1. Davide Torre & Danilo Liuzzi & Rosario Maggistro & Simone Marsiglio, 2022. "Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic–Epidemiological Model," Dynamic Games and Applications, Springer, vol. 12(1), pages 110-132, March.
    2. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s voluntary lockdown: further evidence based on age-specific mobile location data," The Japanese Economic Review, Springer, vol. 72(3), pages 333-370, July.
    3. Karim Gazzeh & Ismaila Rimi Abubakar & Emad Hammad, 2022. "Impacts of COVID-19 Pandemic on the Global Flows of People and Goods: Implications on the Dynamics of Urban Systems," Land, MDPI, vol. 11(3), pages 1-18, March.
    4. Fiaschi, Davide & Tealdi, Cristina, 2022. "Scarring Effects of the COVID-19 Pandemic on the Italian Labour Market," IZA Discussion Papers 15102, Institute of Labor Economics (IZA).
    5. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s Voluntary Lockdown: Further Evidence Based on Age-Specific Mobile Location Data," Working Papers on Central Bank Communication 029, University of Tokyo, Graduate School of Economics.
    6. Sara Grubanov-Boskovic & Spyridon Spyratos & Stefano Maria Iacus & Umberto Minora & Francesco Sermi, 2021. "Monitoring COVID-19-induced gender differences in teleworking rates using Mobile Network Data," Papers 2111.09442, arXiv.org, revised Nov 2021.

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    More about this item

    Keywords

    COVID-19; lockdown; mobility; gender; age;
    All these keywords.

    JEL classification:

    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • I1 - Health, Education, and Welfare - - Health
    • H0 - Public Economics - - General

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