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Mobility and sales activity during the Corona crisis: daily indicators for Switzerland

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  • Florian Eckert

    (KOF Swiss Economic Institute, ETH Zurich)

  • Heiner Mikosch

    (KOF Swiss Economic Institute, ETH Zurich)

Abstract

This paper documents daily compound indicators on physical mobility and sales activity in Switzerland during the Corona crisis. We report several insights from these indicators: The Swiss population substantially reduced its activities already before the shops closed and before the authorities introduced containment policies in mid-March 2020. Activity started to gradually recover from the beginning of April onwards, again substantially before the first phase of the shutdown easing started at the end of April. Low physical mobility during the second half of March and during April likely contributed to the quick fall in new COVID-19 infections since mid-March. The sharp drop in economic activity in consumer-related services during March and April and the gradual recovery in these sectors since May correlate strongly with the reduction and subsequent gradual resurgence of mobility. In addition, while activity within Switzerland was back to normal levels by late June, activity of Swiss residents outside of Switzerland was still below normal.

Suggested Citation

  • Florian Eckert & Heiner Mikosch, 2020. "Mobility and sales activity during the Corona crisis: daily indicators for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-10, December.
    • Handle: RePEc:spr:sjecst:v:156:y:2020:i:1:d:10.1186_s41937-020-00055-9
    DOI: 10.1186/s41937-020-00055-9
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    1. Florian Eckert & Heiner Mikosch, 2020. "Mobility and sales activity during the Corona crisis: daily indicators for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-10, December.
    2. Marc Burri & Daniel Kaufmann, 2020. "A daily fever curve for the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    3. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
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    Cited by:

    1. Florian Eckert & Heiner Mikosch, 2020. "Mobility and sales activity during the Corona crisis: daily indicators for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-10, December.
    2. Artur Strzelecki & Ana Azevedo & Mariia Rizun & Paulina Rutecka & Kacper Zagała & Karina Cicha & Alexandra Albuquerque, 2022. "Human Mobility Restrictions and COVID-19 Infection Rates: Analysis of Mobility Data and Coronavirus Spread in Poland and Portugal," IJERPH, MDPI, vol. 19(21), pages 1-25, November.
    3. Martin Brown & Matthias R. Fengler & Jonas Huwyler & Winfried Koeniger & Rafael Lalive & Robert Rohrkemper, 2023. "Monitoring consumption Switzerland: data, background, and use cases," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-16, December.
    4. Santiago E. Alvarez & Sarah M. Lein, 2020. "Tracking inflation on a daily basis," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-13, December.
    5. Burcu Ozgun & Tom Broekel, 2024. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
    6. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    7. Daniel Goller & Stefan C. Wolter, 2021. "“Too shocked to search” The COVID-19 shutdowns’ impact on the search for apprenticeships," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-15, December.
    8. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    9. Florian Eckert & Heiner Mikosch, 2022. "Firm bankruptcies and start-up activity in Switzerland during the COVID-19 crisis," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-25, December.
    10. Monika Bütler, 2022. "Economics and economists during the COVID-19 pandemic: a personal view," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-15, December.

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    More about this item

    Keywords

    Corona crisis; Mobility; Sales activity; Daily indicators;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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