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Mobility Restrictions and Alcohol Use during Lockdown: 'A Still and Dry Pandemic for the Many'?

Author

Listed:
  • Celidoni, Martina

    (University of Padova)

  • Costa-Font, Joan

    (London School of Economics)

  • Salmasi, Luca

    (Catholic University - Rome)

Abstract

Unexpected mobility disruptions during lockdown during the first wave of COVID-19 became 'tipping points' with the potential to alter pre-pandemic routines sensitive to socialisation. This paper investigates the impact of lockdown exposure on alcohol consumption. We document two findings using information from the Google Mobility Report and longitudinal data from the Understanding Society in the United Kingdom. First, we find a sharp reduction in both actual mobility and alcohol use (consistent with a "still and dry pandemic for the many" hypothesis). However, we document an increase in alcohol use among heavy drinkers, implying a split behavioural response to COVID-19 mobility restrictions based on alcohol use prior to the pandemic. Second, using the predictions of the prevalence-response elasticity theory, we find that the pandemic's reduction in social contacts is responsible for a 2.8 percentage point reduction in drinking among men.

Suggested Citation

  • Celidoni, Martina & Costa-Font, Joan & Salmasi, Luca, 2023. "Mobility Restrictions and Alcohol Use during Lockdown: 'A Still and Dry Pandemic for the Many'?," IZA Discussion Papers 16251, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16251
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    References listed on IDEAS

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    1. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    2. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    3. John Mullahy, 1999. "It'll only hurt a second? Microeconomic determinants of who gets flu shots," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 9-24, February.
    4. Tomas Philipson, 1996. "Private Vaccination and Public Health: An Empirical Examination for U.S. Measles," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 611-630.
    5. Avner Ahituv & V. Joseph Hotz & Tomas Philipson, 1996. "The Responsiveness of the Demand for Condoms to the Local Prevalence of AIDS," Journal of Human Resources, University of Wisconsin Press, vol. 31(4), pages 869-897.
    6. Heckman, J.J. & Smith, J.A., 1995. "Ashenfelter's Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," University of Western Ontario, Departmental Research Report Series 9505, University of Western Ontario, Department of Economics.
    7. Fenichel, Eli P., 2013. "Economic considerations for social distancing and behavioral based policies during an epidemic," Journal of Health Economics, Elsevier, vol. 32(2), pages 440-451.
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    More about this item

    Keywords

    mobility; routines; alcohol use; mobility restrictions; lockdown; health behaviours; difference in differences; COVID-19;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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