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Secret Erosion of the “Lockdown†? Patterns in Daily Activities during the SARS-Cov2 Pandemics around the World

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  • Rieger, Marc Oliver
  • Wang, Mei

Abstract

We measure trends in activity patterns during the “lockdown†of the COVID-19 pandemics, using the Apple Maps Mobility Trends Report, the Google COVID-19 Community Mobility Reports and data from a worldwide online survey with more than 100,000 participants. We focus on the months of March and April 2020, that is, a period where in most countries a “lockdown†took place that restricted social interactions and daily activities. While the Apple Maps data gives high quality data on planned trips, Google data gives high quality location data, and the survey supplements both with data on activity intention. We focus on a few countries with particularly good data coverage: France, Germany, UK and the US. Our key finding is that during this period in most of these countries already a significant re-increase of activities was visible. The increase in activity cannot be explained by relaxed regulations in the countries under study. While some of these activities are certainly unavoidable, we also measured an increase in less necessary activities, which should be taken into account when discussing policies for the containment of the pandemics. We also find strong differences in the relative importance of various activities across countries. This may provide policy makers with valuable information about what type of activities are most relevant to reduce for curtailing the pandemics.

Suggested Citation

  • Rieger, Marc Oliver & Wang, Mei, 2020. "Secret Erosion of the “Lockdown†? Patterns in Daily Activities during the SARS-Cov2 Pandemics around the World," Review of Behavioral Economics, now publishers, vol. 7(3), pages 223-235, August.
  • Handle: RePEc:now:jnlrbe:105.00000124
    DOI: 10.1561/105.00000124
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    Cited by:

    1. Chan, Ho-Yin & Chen, Anthony & Ma, Wei & Sze, Nang-Ngai & Liu, Xintao, 2021. "COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong," Transport Policy, Elsevier, vol. 106(C), pages 173-184.
    2. Schunk, Daniel & Wagner, Valentin, 2021. "What determines the willingness to sanction violations of newly introduced social norms: Personality traits or economic preferences? evidence from the COVID-19 crisis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    3. Marc Oliver Rieger & Mei Wang, 2022. "Trust in Government Actions During the COVID-19 Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 967-989, February.
    4. Bennett, Magdalena, 2021. "All things equal? Heterogeneity in policy effectiveness against COVID-19 spread in chile," World Development, Elsevier, vol. 137(C).

    More about this item

    Keywords

    Covid-19; lockdown; social distancing; compliance;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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