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The Effect of Social Distancing Measures on the Demand for Intensive Care: Evidence on Covid-19 in Scandinavia

Author

Listed:
  • Steffen Juranek
  • Floris Zoutman

Abstract

Understanding the effectiveness of social distancing on the spread of Covid-19 is crucial to justify economically costly social distancing measures. We present a case study focusing on the three Scandinavian countries. Whereas Denmark and Norway imposed relatively strict measures, Sweden follows an extraordinarily lenient approach. We use an event-study approach in which Sweden serves as a counterfactual to Denmark/Norway to estimate the measures’ effectiveness. We estimate that in the counterfactual in which Denmark/Norway implemented Sweden’s more lenient measures the number of hospitalizations would have peaked between around 15-20 days later. The peak number of hospitalizations in Denmark (Norway) would have been 133 (231) percent higher, and the peak number of ICU patients would have increased by 107 (140) percent.

Suggested Citation

  • 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.
    • Handle: RePEc:ces:ceswps:_8262
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    Citations

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    Cited by:

    1. 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.
    2. Ulrich Glogowsky & Emanuel Hansen & Simeon Schächtele, 2021. "How effective are social distancing policies? Evidence on the fight against COVID-19," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-12, September.
    3. Gabriele Ciminelli & Sílvia Garcia‐Mandicó, 2022. "When and how do business shutdowns work? Evidence from Italy's first COVID‐19 wave," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1823-1843, September.
    4. Germain Gauthier, 2021. "On the Use of Two-Way Fixed Effects Models for Policy Evaluation During Pandemics," Papers 2106.10949, arXiv.org.
    5. Yaming Zhang & Jiaqi Zhang & Yaya Hamadou Koura & Changyuan Feng & Yanyuan Su & Wenjie Song & Linghao Kong, 2023. "Multiple Concurrent Causal Relationships and Multiple Governance Pathways for Non-Pharmaceutical Intervention Policies in Pandemics: A Fuzzy Set Qualitative Comparative Analysis Based on 102 Countries," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
    6. 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).
    7. 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.
    8. Karolina Drela & Agnieszka Malkowska & Anna Bera & Anna Tokarz-Kocik, 2021. "Instruments for Managing the EU Labour Market in the Face of the COVID-19 Crisis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 984-998.
    9. Mauritzen, Johannes, 2021. "The Covid-19 shock on a low-carbon grid: Evidence from the nordics," Energy Policy, Elsevier, vol. 156(C).
    10. 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.
    11. 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.
    12. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    13. Kristoffer Rypdal & Martin Rypdal, 2020. "A Parsimonious Description and Cross-Country Analysis of COVID-19 Epidemic Curves," IJERPH, MDPI, vol. 17(18), pages 1-23, September.
    14. Carlos B. Carneiro & I'uri H. Ferreira & Marcelo C. Medeiros & Henrique F. Pires & Eduardo Zilberman, 2020. "Lockdown effects in US states: an artificial counterfactual approach," Papers 2009.13484, arXiv.org, revised Feb 2021.
    15. 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.
    16. Martin Huber & Henrika Langen, 2020. "Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-19, December.
    17. Gutierrez, Emilio & Rubli, Adrian & Tavares, Tiago, 2022. "Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports," Journal of Development Economics, Elsevier, vol. 154(C).

    More about this item

    Keywords

    Covid-19; social distancing; intensive care; case study;
    All these keywords.

    JEL classification:

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

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