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Trade Flows, Private Credit and the Covid-19-Pandemic: Panel Evidence from 35 OECD Countries

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  • Guglielmo Maria Caporale
  • Anamaria Sova
  • Robert Sova

Abstract

This paper analyses the impact of the Covid-19 pandemic on exports and imports in the case of 35 OECD countries during the 2019Q1-2021Q2 period using a dynamic panel approach, specifically the system Generalized Method of Moments (GMM). In contrast to earlier studies, the empirical specification incorporates not only an index for the restrictive (and fiscal) measures adopted by national governments, but also an interaction term with private credit which captures the role of the financial sector in the context of the current crisis. The findings suggest that the negative effects of the Covid-19 pandemic on international trade can be attenuated through (policies supporting) private credit, which confirms the importance of the trade-finance nexus.

Suggested Citation

  • Guglielmo Maria Caporale & Anamaria Sova & Robert Sova, 2021. "Trade Flows, Private Credit and the Covid-19-Pandemic: Panel Evidence from 35 OECD Countries," CESifo Working Paper Series 9400, CESifo.
    • Handle: RePEc:ces:ceswps:_9400
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    References listed on IDEAS

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    3. Caporale, Guglielmo Maria & Sova, Anamaria Diana & Sova, Robert, 2022. "The direct and indirect effects of financial development on international trade: Evidence from the CEEC-6," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    4. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
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    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2022. "The Covid-19 Pandemic and European Trade Patterns: A Sectoral Analysis," CESifo Working Paper Series 10115, CESifo.
    2. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2022. "The Covid-19 Pandemic and European Trade Flows: Evidence from a Dynamic Panel Model," CESifo Working Paper Series 9848, CESifo.

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    More about this item

    Keywords

    Covid-19 pandemic; stringency index; overall government response index; credit to the private non-financial sector; dynamic panel models; GMM;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F15 - International Economics - - Trade - - - Economic Integration

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