IDEAS home Printed from https://ideas.repec.org/a/spr/wirtsc/v100y2020i5d10.1007_s10273-020-2655-x.html
   My bibliography  Save this article

COVID-19, Grippewellen und ökonomische Aktivität — die Perspektive der Wirkungsanalyse
[COVID-19, Influenza and Economic Activity — An Impact Analysis Perspective]

Author

Listed:
  • Adalbert Winkler

    (Frankfurt School of Finance and Management)

Abstract

Zusammenfassung Die öffentliche Diskussion zur Corona-Krise nimmt an Schärfe zu. Dabei stehen die Letalitätsrate sowie die Wirkungen staatlicher Maßnahmen in Hinblick auf ihre epidemiologischen und ökonomischen Wirkungen im Mittelpunkt. Der Streit ließe sich klären, wenn man an randomisierte, kontrollierte Studien angelehnte Wirkungsanalysen durchführen könnte. Dies ist mangels Kontrollgruppe aber nicht möglich. So ist eine weiter zunehmende Polarisierung zu erwarten, gerade wenn die Todeszahlen niedrig bleiben.

Suggested Citation

  • Adalbert Winkler, 2020. "COVID-19, Grippewellen und ökonomische Aktivität — die Perspektive der Wirkungsanalyse [COVID-19, Influenza and Economic Activity — An Impact Analysis Perspective]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(5), pages 344-350, May.
    • Handle: RePEc:spr:wirtsc:v:100:y:2020:i:5:d:10.1007_s10273-020-2655-x
    DOI: 10.1007/s10273-020-2655-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10273-020-2655-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10273-020-2655-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oscar Jorda & Sanjay R. Singh & Alan M. Taylor, 2022. "Longer-Run Economic Consequences of Pandemics," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 166-175, March.
    2. Beatriz Armendáriz & Jonathan Morduch, 2010. "The Economics of Microfinance, Second Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262014106, April.
    3. Rachel Glennerster & Kudzai Takavarasha, 2013. "Running Randomized Evaluations: A Practical Guide," Economics Books, Princeton University Press, edition 1, number 10085.
    4. Christopher Avery & William Bossert & Adam Clark & Glenn Ellison & Sara Fisher Ellison, 2020. "Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists," NBER Working Papers 27007, National Bureau of Economic Research, Inc.
    5. Christopher Avery & William Bossert & Adam Thomas Clark & Glenn Ellison & Sara Ellison, 2020. "Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists," CESifo Working Paper Series 8293, CESifo.
    6. Homburg, Stefan, 2020. "Evidenz zur Coronainfektion und der Wirkung des Lockdown," Hannover Economic Papers (HEP) dp-670, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Michael König & Adalbert Winkler, 2021. "COVID-19: Lockdowns, Fatality Rates and GDP Growth," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 56(1), pages 32-39, January.
    2. Michael König & Adalbert Winkler, 2021. "Makroökonomische Effekte der Kontaktbeschränkung in der Pandemie," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(3), pages 232-234, March.

    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. Kuchler, Theresa & Russel, Dominic & Stroebel, Johannes, 2022. "JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook," Journal of Urban Economics, Elsevier, vol. 127(C).
    2. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    3. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust decision-making under risk and ambiguity," Papers 2104.12573, arXiv.org, revised Oct 2021.
    4. Jesper Akesson & Sam Ashworth-Hayes & Robert Hahn & Robert Metcalfe & Itzhak Rasooly, 2022. "Fatalism, beliefs, and behaviors during the COVID-19 pandemic," Journal of Risk and Uncertainty, Springer, vol. 64(2), pages 147-190, April.
    5. Robert S. Pindyck, 2020. "COVID-19 and the Welfare Effects of Reducing Contagion," NBER Working Papers 27121, National Bureau of Economic Research, Inc.
    6. Chad Cotti & Bryan Engelhardt & Joshua Foster & Erik Nesson & Paul Niekamp, 2021. "The relationship between in‐person voting and COVID‐19: Evidence from the Wisconsin primary," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 760-777, October.
    7. Smith, L. Vanessa & Tarui, Nori & Yamagata, Takashi, 2021. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," Energy Economics, Elsevier, vol. 97(C).
    8. d’Albis, Hippolyte & Augeraud-Véron, Emmanuelle, 2021. "Optimal prevention and elimination of infectious diseases," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    9. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.
    10. Glenn Ellison, 2020. "Implications of Heterogeneous SIR Models for Analyses of COVID-19," NBER Working Papers 27373, National Bureau of Economic Research, Inc.
    11. 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.
    12. Masayuki Morikawa, 2022. "Work‐from‐home productivity during the COVID‐19 pandemic: Evidence from Japan," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 508-527, April.
    13. Miguel Casares & Paul Gomme & Hashmat Khan, 2022. "COVID‐19 pandemic and economic scenarios for Ontario," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 503-539, February.
    14. Attar, M. Aykut & Tekin-Koru, Ayça, 2022. "Latent social distancing: Identification, causes and consequences," Economic Systems, Elsevier, vol. 46(1).
    15. David Baqaee & Emmanuel Farhi & Michael J. Mina & James H. Stock, 2020. "Reopening Scenarios," NBER Working Papers 27244, National Bureau of Economic Research, Inc.
    16. André de Palma & Nathalie Picard & Stef Proost, 2021. "SCARE: when Economics meets Epidemiology with COVID-19, first wave," THEMA Working Papers 2021-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    17. Keane, Michael & Neal, Timothy, 2021. "Consumer panic in the COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 220(1), pages 86-105.
    18. 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).
    19. Rolando Gonzales Martínez & Gabriela Aguilera‐Lizarazu & Andrea Rojas‐Hosse & Patricia Aranda Blanco, 2020. "The interaction effect of gender and ethnicity in loan approval: A Bayesian estimation with data from a laboratory field experiment," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 726-749, August.
    20. Ruchi Avtar & Rajashri Chakrabarti & Lindsay Meyerson & William Nober & Maxim L. Pinkovskiy, 2020. "The Affordable Care Act and the COVID-19 Pandemic: A Regression Discontinuity Analysis," Staff Reports 948, Federal Reserve Bank of New York.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • 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:spr:wirtsc:v:100:y:2020:i:5:d:10.1007_s10273-020-2655-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.