IDEAS home Printed from https://ideas.repec.org/p/zbw/iwhpno/32021.html
   My bibliography  Save this paper

Wirtschaftliche Mobilität dürfte nach Lockerung deutlich steigen – aber auch die Zahl der COVID-19-Fälle

Author

Listed:
  • Holtemöller, Oliver
  • Rieth, Malte

Abstract

In Deutschland wurden Anfang März in einigen Bereichen Maßnahmen zur Eindämmung des Coronavirus gelockert; so wurde die Anzahl der Personen aus verschiedenen Haushalten, die sich treffen dürfen, vielerorts erhöht und Einzelhandelsgeschäfte können vermehrt wieder Kunden empfangen. Auf diese Weise kommt es zu einem gewollten Wiederanstieg der wirtschaftlichen Mobilität und der persönlichen Kontakte zwischen Menschen. Die Kontakthäufigkeit ist allerdings auch ein wesentlicher Einflussfaktor für die Ausbreitungsgeschwindigkeit des Coronavirus, zumal die Lockerungen bislang nicht mit einer systematischen Teststrategie einhergehen; und auch der Impffortschritt bleibt hinter den Erwartungen zurück. Schätzungen auf Basis eines Modells für den Zusammenhang zwischen Eindämmungsmaßnahmen (Oxford COVID-19 Government Response Tracker, Stringency Index), wirtschaftlicher Mobilität (Google Mobility Data), Corona-Neuinfektionen und Todesfällen mit Daten aus 44 Ländern deuten darauf hin, dass die jüngsten Lockerungen die wirtschaftliche Mobilität um mehr als zehn Prozentpunkte ansteigen lassen und die Zahl der Neuinfektionen und der Todesfälle in Deutschland um 25% erhöhen. Da sowohl ein fortgesetzter Lockdown als auch Lockerungen erhebliche negative Konsequenzen mit sich bringen, ist es umso wichtiger, durch eine bessere Test- und Quarantänestrategie und durch eine höhere Geschwindigkeit beim Impfen weitere Lockerungen zu ermöglichen, ohne damit die Gesundheit der Menschen zu gefährden.

Suggested Citation

  • Holtemöller, Oliver & Rieth, Malte, 2021. "Wirtschaftliche Mobilität dürfte nach Lockerung deutlich steigen – aber auch die Zahl der COVID-19-Fälle," IWH Policy Notes 3/2021, Halle Institute for Economic Research (IWH).
  • Handle: RePEc:zbw:iwhpno:32021
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/242990/1/iwh-pn-2021-03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Annika Camehl & Malte Rieth, 2021. "Disentangling Covid-19, Economic Mobility, and Containment Policy Shocks," Discussion Papers of DIW Berlin 1954, DIW Berlin, German Institute for Economic Research.
    2. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.
    3. Holtemöller, Oliver, 2020. "Integrated assessment of epidemic and economic dynamics," IWH Discussion Papers 4/2020, Halle Institute for Economic Research (IWH).
    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. Holtemöller, Oliver & Rieth, Malte, 2021. "Economic mobility likely to increase significantly after relaxation - but also number of COVID-19 cases," IWH Policy Notes 3/2021 (en), Halle Institute for Economic Research (IWH).
    2. Nikolay Hristov & Markus Roth, 2019. "Uncertainty Shocks and Financial Crisis Indicators," CESifo Working Paper Series 7839, CESifo.
    3. Sebastian K. Rüth & Wouter Van der Veken, 2023. "Monetary policy and exchange rate anomalies in set‐identified SVARs: Revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1085-1092, November.
    4. Christoph Kaufmann, 2023. "Investment Funds, Monetary Policy, and the Global Financial Cycle," Journal of the European Economic Association, European Economic Association, vol. 21(2), pages 593-636.
    5. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.
    6. Lubik, Thomas A. & Matthes, Christian & Verona, Fabio, 2019. "Assessing U.S. aggregate fluctuations across time and frequencies," Bank of Finland Research Discussion Papers 5/2019, Bank of Finland.
    7. Brubakk, Leif & ter Ellen, Saskia & Robstad, Ørjan & Xu, Hong, 2022. "The macroeconomic effects of forward communication," Journal of International Money and Finance, Elsevier, vol. 120(C).
    8. Kilian, Lutz & Zhou, Xiaoqing, 2022. "The impact of rising oil prices on U.S. inflation and inflation expectations in 2020–23," Energy Economics, Elsevier, vol. 113(C).
    9. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    10. Ugo Albertazzi & Andrea Nobili & Federico M. Signoretti, 2021. "The Bank Lending Channel of Conventional and Unconventional Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 261-299, March.
    11. David S. Jacks & Martin Stuermer, 2021. "Dry bulk shipping and the evolution of maritime transport costs, 1850–2020," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 61(2), pages 204-227, July.
    12. Antonello D'Agostino & Caterina Mendicino & Federico Puglisi, 2022. "Expectation‐Driven Cycles and the Changing Dynamics of Unemployment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 2173-2191, October.
    13. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.
    14. Ha, Jongrim & Marc Stocker, M. & Yilmazkuday, Hakan, 2020. "Inflation and exchange rate pass-through," Journal of International Money and Finance, Elsevier, vol. 105(C).
    15. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
    16. Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
    17. Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.
    18. Milan Deskar-Škrbić & Davor Kunovac, 2020. "Twentieth Anniversary of the Euro: Why are Some Countries Still Not Willing to Join? Economists’ View," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(2), pages 242-262, June.
    19. Lutz Kilian & Xiaoqing Zhou, 2020. "Does drawing down the US Strategic Petroleum Reserve help stabilize oil prices?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 673-691, September.
    20. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2022. "The corporate saving glut and the current account in Germany," Journal of International Money and Finance, Elsevier, vol. 121(C).

    More about this item

    Keywords

    Coronavirus; Eindämmungsmaßnahmen; Lockdown; Mobilität;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • H8 - Public Economics - - Miscellaneous Issues
    • I1 - Health, Education, and Welfare - - Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:iwhpno:32021. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwhhhde.html .

    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.