IDEAS home Printed from https://ideas.repec.org/p/mar/magkse/202411.html
   My bibliography  Save this paper

Impact of Policy Measures and Behavior on the COVID Pandemic in Germany

Author

Listed:
  • Jenny Bethäuser

    (Department of Economics, Justus Liebig University Giessen, Germany)

Abstract

Critics protest loudly against restrictions imposed by politicians during the COVID-19 pandemic in Germany: Mandatory masks, lockdowns, school and business closures. This paper examines (1) the extent to which these policies have indirectly contributed to limiting the number of COVID-19 cases and deaths by forcing people to practice social distancing, and (2) the extent to which people have adjusted their social distancing behavior on their own based on information about national case and fatality numbers and therefore directly limit the number of COVID-19 cases and deaths. The panel analysis on federal state level in Germany finds that substantial declines in COVID-19 case and death growth rates are attributable to private behavioral response, but policies played an important role as well. A change in policies explains a large fraction of changes in social distancing behavior, why both policies and national information are important determinants of federal COVID-19 cases and deaths. Due to the lack of cross-sectional variation, there is uncertainty about the effect of mask mandates.

Suggested Citation

  • Jenny Bethäuser, 2024. "Impact of Policy Measures and Behavior on the COVID Pandemic in Germany," MAGKS Papers on Economics 202411, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:202411
    as

    Download full text from publisher

    File URL: https://uni-marburg.de/en/fb02/research-groups/economics/macroeconomics/research/magks-joint-discussion-papers-in-economics/papers/2024/11-2024-bethauser.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    COVID-19; Coronavirus; Cases; Deaths; Pandemic; Politics; Mask Mandate; Behavior; Causal Inference; Panel Data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:mar:magkse:202411. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Bernd Hayo (email available below). General contact details of provider: https://edirc.repec.org/data/vamarde.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.