IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v204y2021ics0165176521002007.html
   My bibliography  Save this article

The determinants of output losses during the Covid-19 pandemic

Author

Listed:
  • Glocker, Christian
  • Piribauer, Philipp

Abstract

The global recession in the wake of the Covid-19 pandemic was accompanied by a significant degree of heterogeneity in the economic contraction across countries. We use a rich data set and Bayesian model averaging techniques to identify the factors shaping the extent of heterogeneity. The results highlight the importance of adverse initial conditions (large contact-intensive service sector) and behavioural changes (increased voluntary spatial distancing) relative to the extent of public containment measures.

Suggested Citation

  • Glocker, Christian & Piribauer, Philipp, 2021. "The determinants of output losses during the Covid-19 pandemic," Economics Letters, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:ecolet:v:204:y:2021:i:c:s0165176521002007
    DOI: 10.1016/j.econlet.2021.109923
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176521002007
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2021.109923?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. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.
    3. Michael König & Adalbert Winkler, 2020. "COVID-19 and Economic Growth: Does Good Government Performance Pay Off?," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(4), pages 224-231, July.
    4. Chudik, Alexander & Mohaddes, Kamiar & Pesaran, M. Hashem & Raissi, Mehdi & Rebucci, Alessandro, 2021. "A counterfactual economic analysis of Covid-19 using a threshold augmented multi-country model," Journal of International Money and Finance, Elsevier, vol. 119(C).
    5. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    6. Zeugner, Stefan & Feldkircher, Martin, 2015. "Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i04).
    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. Papaioannou, Sotiris K., 2023. "ICT and economic resilience: Evidence from the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 128(C).
    2. Francis Kuriakose & Deepa Kylasam Iyer, 2024. "Initial conditions and cross-country macroeconomic impact during Covid-19," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 19(1), pages 4-27.
    3. Hind Alofaysan & Fatma Mabrouk & Jihen Bousrih, 2022. "Assessment of the Impact of COVID-19 Pandemic on Economic Performance: DSGE and Probit Investigations," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 11, July.
    4. Costas Siriopoulos & Sophia A. Kassapi, 2023. "Female Labor Participation and Mother’s Daycare in Greece Pre- and Post-COVID-19 Pandemic: A Regional Analysis," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    5. Sugata Marjit & Gouranga Gopal Das, 2021. "Contact-Intensity, Collapsing Entertainment Sector and Wage Inequality: A Finite Change Model of Covid-19 Impact," CESifo Working Paper Series 9311, CESifo.
    6. Vytautas Kuokštis & Ringailė Kuokštytė, 2023. "How Institutions Moderated the Pandemic's Economic Impact in EU Member States," Journal of Common Market Studies, Wiley Blackwell, vol. 61(2), pages 503-525, March.
    7. Aquilante, Tommaso & Di Pace, Federico & Masolo, Riccardo M., 2022. "Exchange-rate and news: Evidence from the COVID pandemic," Economics Letters, Elsevier, vol. 213(C).

    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. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    2. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    3. Morvillier, Florian, 2020. "Do currency undervaluations affect the impact of inflation on growth?," Economic Modelling, Elsevier, vol. 84(C), pages 275-292.
    4. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    5. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    6. Jetter, Michael & Parmeter, Christopher F., 2018. "Sorting through global corruption determinants: Institutions and education matter – Not culture," World Development, Elsevier, vol. 109(C), pages 279-294.
    7. Balima, Hippolyte W. & Sokolova, Anna, 2021. "IMF programs and economic growth: A meta-analysis," Journal of Development Economics, Elsevier, vol. 153(C).
    8. David Kaplan, 2021. "On the Quantification of Model Uncertainty: A Bayesian Perspective," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 215-238, March.
    9. Florian Morvillier, 2019. "Do currency undervaluations affect the impact of inflation on growth?," Post-Print hal-02138677, HAL.
    10. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    11. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    12. Papaioannou, Sotiris K., 2023. "ICT and economic resilience: Evidence from the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 128(C).
    13. Gross, Jonas & Zahner, Johannes, 2021. "What is on the ECB’s mind? Monetary policy before and after the global financial crisis," Journal of Macroeconomics, Elsevier, vol. 68(C).
    14. Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016. "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, vol. 81(C), pages 32-67.
    15. Anna Sokolova, 2023. "Marginal Propensity to Consume and Unemployment: a Meta-analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 813-846, December.
    16. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
    17. Aart Kraay & Norikazu Tawara, 2013. "Can specific policy indicators identify reform priorities?," Journal of Economic Growth, Springer, vol. 18(3), pages 253-283, September.
    18. Ley, Eduardo & Steel, Mark F.J., 2007. "Jointness in Bayesian variable selection with applications to growth regression," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 476-493, September.
    19. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    20. Carmen Fernández & Eduardo Ley & Mark F. J. Steel, 2002. "Bayesian modelling of catch in a north‐west Atlantic fishery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 257-280, July.

    More about this item

    Keywords

    Covid-19 pandemic; Output contraction; Cross-country heterogeneity; Bayesian model averaging;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • F01 - International Economics - - General - - - Global Outlook

    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:eee:ecolet:v:204:y:2021:i:c:s0165176521002007. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.