IDEAS home Printed from https://ideas.repec.org/p/jku/econwp/2020-23.html
   My bibliography  Save this paper

How Effective Are Social Distancing Policies? Evidence on the Fight Against COVID-19

Author

Abstract

To fight the spread of COVID-19, many countries implemented social distancing policies. This is the first paper that examines the effects of the German social distancing policies on behavior and the epidemic’s spread. Exploiting the staggered timing of COVID-19 outbreaks in extended event-study models, we find that the policies heavily reduced mobility and contagion. In comparison to a no-social-distancing benchmark, within three weeks, the policies avoided 84% of the potential COVID-19 cases (point estimate: 499.3K) and 66% of the potential fatalities (5.4K). The policies’ relative effects were smaller for individuals above 60 and in rural areas.

Suggested Citation

  • Ulrich Glogowsky & Emanuel Hansen & Simeon Schächtele, 2020. "How Effective Are Social Distancing Policies? Evidence on the Fight Against COVID-19," Economics working papers 2020-23, Department of Economics, Johannes Kepler University Linz, Austria.
  • Handle: RePEc:jku:econwp:2020-23
    Note: English
    as

    Download full text from publisher

    File URL: http://www.econ.jku.at/papers/2020/wp2023.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Steffen Juranek & Floris Zoutman, 2020. "The Effect of Social Distancing Measures on the Demand for Intensive Care: Evidence on Covid-19 in Scandinavia," CESifo Working Paper Series 8262, CESifo.
    2. Bartscher, Alina Kristin & Seitz, Sebastian & Siegloch, Sebastian & Slotwinski, Michaela & Wehrhöfer, Nils, 2021. "Social capital and the spread of covid-19: Insights from european countries," Journal of Health Economics, Elsevier, vol. 80(C).
    3. Henrik Kleven & Camille Landais & Jakob Egholt Søgaard, 2019. "Children and Gender Inequality: Evidence from Denmark," American Economic Journal: Applied Economics, American Economic Association, vol. 11(4), pages 181-209, October.
    4. Kurt Schmidheiny & Sebastian Siegloch, 2019. "On Event Study Designs and Distributed-Lag Models: Equivalence, Generalization and Practical Implications," CESifo Working Paper Series 7481, CESifo.
    5. Goodman-Bacon, Andrew & Marcus, Jan, 2020. "Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2), pages 153-158.
    6. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    7. Andrew Atkeson, 2020. "How Deadly is COVID-19? Understanding the Difficulties with Estimation of its Fatality Rate," Staff Report 598, Federal Reserve Bank of Minneapolis.
    8. Pence Karen M., 2006. "The Role of Wealth Transformations: An Application to Estimating the Effect of Tax Incentives on Saving," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-26.
    9. Kurt Schmidheiny & Sebastian Siegloch, 2023. "On event studies and distributed‐lags in two‐way fixed effects models: Identification, equivalence, and generalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 695-713, August.
    10. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    11. Michael Greenstone & Vishan Nigam, 2020. "Does Social Distancing Matter?," Working Papers 2020-26, Becker Friedman Institute for Research In Economics.
    12. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.
    13. Steffen Juranek & Floris T. Zoutman, 2021. "The effect of non-pharmaceutical interventions on the demand for health care and on mortality: evidence from COVID-19 in Scandinavia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1299-1320, October.
    14. Andrew Goodman-Bacon & Jan Marcus, 2020. "Difference-in-Differences to Identify Causal Effects of COVID-19 Policies," Discussion Papers of DIW Berlin 1870, DIW Berlin, German Institute for Economic Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Distancing and Lockdown > Compliance

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bartscher, Alina Kristin & Seitz, Sebastian & Siegloch, Sebastian & Slotwinski, Michaela & Wehrhöfer, Nils, 2021. "Social capital and the spread of covid-19: Insights from european countries," Journal of Health Economics, Elsevier, vol. 80(C).
    2. Corazza, Ilaria & Ferrari, Amerigo & Bonciani, Manila, 2023. "Effectiveness of measures to preserve labour and childbirth companionship at the times of COVID-19 outbreak," Health Policy, Elsevier, vol. 129(C).
    3. Reinhold Kosfeld & Timo Mitze & Johannes Rode & Klaus Wälde, 2021. "The Covid‐19 containment effects of public health measures: A spatial difference‐in‐differences approach," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 799-825, September.
    4. Nicola Raimo & Pedro-José Martínez-Córdoba & Bernardino Benito & Filippo Vitolla, 2021. "The Impact of the COVID-19 Pandemic on the Labor Market: An Analysis of Supply and Demand in the Spanish Municipalities," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    5. Hinterlang, Natascha & Moyen, Stephane & Röhe, Oke & Stähler, Nikolai, 2023. "Gauging the effects of the German COVID-19 fiscal stimulus package," European Economic Review, Elsevier, vol. 154(C).
    6. Sabine Kuhlmann & Jochen Franzke & Benoît Paul Dumas, 2022. "Technocratic Decision-Making in Times of Crisis? The Use of Data for Scientific Policy Advice in Germany’s COVID-19 Management," Public Organization Review, Springer, vol. 22(2), pages 269-289, June.
    7. Christian Alemán & Christopher Busch & Alexander Ludwig & Raül Santaeulàlia-Llopis, 2022. "A Stage-Based Identification of Policy Effects," Working Papers 1369, Barcelona School of Economics.
    8. Etienne Farvaque & Hira Iqbal & Nicolas Ooghe, 2020. "Health politics? Determinants of US states’ reactions to COVID-19," Post-Print hal-03128875, HAL.
    9. Steffen Juranek & Floris T. Zoutman, 2021. "The effect of non-pharmaceutical interventions on the demand for health care and on mortality: evidence from COVID-19 in Scandinavia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1299-1320, October.
    10. Anne Marie Novak & Adi Katz & Michal Bitan & Shahar Lev-Ari, 2022. "The Association between the Sense of Coherence and the Self-Reported Adherence to Guidelines during the First Months of the COVID-19 Pandemic in Israel," IJERPH, MDPI, vol. 19(13), pages 1-13, June.
    11. Steffen Juranek & Jörg Paetzold & Hannes Winner & Floris Zoutman, 2021. "Labor market effects of COVID‐19 in Sweden and its neighbors: Evidence from administrative data," Kyklos, Wiley Blackwell, vol. 74(4), pages 512-526, November.

    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. Ulrich Glogowsky & Emanuel Hansen & Simeon Schächtele, 2020. "How Effective Are Social Distancing Policies? Evidence on the Fight against Covid-19 from Germany," CESifo Working Paper Series 8361, CESifo.
    2. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
    3. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    4. Edoardo Di Porto & Paolo Naticchioni & Vincenzo Scrutinio, 2020. "Partial Lockdown and the Spread of Covid-19: Lessons from the Italian Case," CSEF Working Papers 569, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Nicola Borri & Francesco Drago & Chiara Santantonio & Francesco Sobbrio, 2021. "The “Great Lockdown”: Inactive workers and mortality by Covid‐19," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2367-2382, September.
    6. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    7. Backhaus, Andreas, 2022. "International travel in times of the COVID-19 pandemic: The case of German school breaks," Economics & Human Biology, Elsevier, vol. 44(C).
    8. Hu, Jiayin & Wang, Xuan & Yang, Qingxu & Yi, Junjian, 2024. "Gender disparities in the labor market during COVID-19 lockdowns: Evidence from online job postings and applications in China," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 199-215.
    9. Alberto Bisin & Andrea Moro, 2020. "Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses," NBER Working Papers 27590, National Bureau of Economic Research, Inc.
    10. Léa BOU SLEIMAN & Germain GAUTHIER, 2020. "COVID-19: Reduced forms have gone viral, but what do they tell us?," Working Papers 2020-32, Center for Research in Economics and Statistics, revised 18 Jan 2021.
    11. Alexander Ahammer & Martin Halla & Mario Lackner, 2023. "Mass gatherings contributed to early COVID‐19 mortality: Evidence from US sports," Contemporary Economic Policy, Western Economic Association International, vol. 41(3), pages 471-488, July.
    12. Porto, Edoardo Di & Naticchioni, Paolo & Scrutinio, Vincenzo, 2022. "Lockdown, essential sectors, and Covid-19: Lessons from Italy," Journal of Health Economics, Elsevier, vol. 81(C).
    13. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    14. Kai Fischer & J. James Reade & W. Benedikt Schmal, 2021. "The Long Shadow of an Infection: COVID-19 and Performance at Work," Economics Discussion Papers em-dp2021-17, Department of Economics, University of Reading.
    15. Nicolò Gatti & Beatrice Retali, 2021. "Fighting the spread of Covid-19 : was the Swiss lockdown worth it?," IdEP Economic Papers 2101, USI Università della Svizzera italiana.
    16. Nicolò Gatti & Beatrice Retali, 2021. "Saving lives during the COVID-19 pandemic: the benefits of the first Swiss lockdown," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-21, December.
    17. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    18. INOUE Tomoo & OKIMOTO Tatsuyoshi, 2022. "Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines," Discussion papers 22011, Research Institute of Economy, Trade and Industry (RIETI).
    19. Philipp Breidenbach & Timo Mitze, 2022. "Large-scale sport events and COVID-19 infection effects: evidence from the German professional football ‘experiment’," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 15-45.
    20. Vandenbroucke Guillaume, 2022. "The Mechanics of Individually- and Socially-Optimal Decisions during an Epidemic," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 131-158, January.

    More about this item

    Keywords

    COVID-19; Coronavirus; social distancing policies; policy evaluation; mobility; fatalities;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    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:jku:econwp:2020-23. 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: René Böheim (email available below). General contact details of provider: https://edirc.repec.org/data/vlinzat.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.