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  1. Trade flows, private credit and the Covid-19 pandemic
    panel evidence from 35 OECD countries
    Autor*in: Caporale, Guglielmo Maria; Sova, Anamaria Diana; Sova, Robert
    Erschienen: November 2021
    Verlag:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    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... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63
    Fernleihe:
    keine Fernleihe

     

    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.

     
    Export in Literaturverwaltung   RIS-Format
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/248945
    Schriftenreihe: CESifo working paper ; no. 9400 (2021)
    Schlagworte: Covid-19 pandemic; stringency index; overall government response index; credit to the private non-financial sector; dynamic panel models; GMM
    Umfang: 1 Online-Ressource (circa 11 Seiten), Illustrationen
  2. The Covid-19 pandemic and European trade flows
    evidence from a dynamic panel model
    Autor*in: Caporale, Guglielmo Maria; Sova, Anamaria Diana; Sova, Robert
    Erschienen: July 2022
    Verlag:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    This paper investigates the impact of the Covid-19 pandemic on trade flows in the case of the European countries. First, an ARDL dynamic panel model is estimated using the PMG method to analyse monthly data covering the most recent period... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63
    Fernleihe:
    keine Fernleihe

     

    This paper investigates the impact of the Covid-19 pandemic on trade flows in the case of the European countries. First, an ARDL dynamic panel model is estimated using the PMG method to analyse monthly data covering the most recent period (2019M1-2021M12); then, the GMM and PCSE approaches are applied to a much longer span of quarterly data (2000Q1-2021Q4), which also includes the Global Financial Crisis (GFC) of 2007-2009, in order to compare the trade impact of two different crises. The findings based on the monthly data provide clear evidence of the significant negative effects of the Covid-19 pandemic on both exports and imports in both the short and the long run, and also suggest that digitalization was instrumental in mitigating the impact of the crisis and speeding up the recovery. The quarterly analysis over a longer time period indicates that both the GCF and the Covid-19 pandemic had negative effects on trade but of a different magnitude. The use of digital technology enabling remote work and e-commerce are again some of the factors likely explaining why international trade fell by less and also rebounded much more quickly during the Covid-19 pandemic compared to the GFC.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/263778
    Schriftenreihe: CESifo working paper ; no. 9848 (2022)
    Schlagworte: Covid-19 pandemic; trade flows; dynamic panel models; pooled mean group (PMG) estimator
    Umfang: 1 Online-Ressource (circa 35 Seiten), Illustrationen
  3. The Covid-19 pandemic and European trade patterns
    a sectoral analysis
    Autor*in: Caporale, Guglielmo Maria; Sova, Anamaria Diana; Sova, Robert
    Erschienen: November 2022
    Verlag:  CESifo, Munich, Germany

    This paper examines how the Covid-19 pandemic affected European trade patterns. Specifically, dynamic panel data models are estimated to assess the effects on exports and imports of various sectors and products (selected on the basis of their trading... mehr

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    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63
    Fernleihe:
    keine Fernleihe

     

    This paper examines how the Covid-19 pandemic affected European trade patterns. Specifically, dynamic panel data models are estimated to assess the effects on exports and imports of various sectors and products (selected on the basis of their trading volume or strategic importance) of the restrictions and of other policy measures adopted by national governments during the crisis. The results suggest that the impact of the Covid-19 pandemic was heterogeneous across sectors and product types, both the initial drop and the subsequent rebound being different depending on sectoral characteristics and the degree of resilience. In particular, trade flows of durable products were more significantly affected by the pandemic compared to those of non-durable ones.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/267347
    Schriftenreihe: CESifo working papers ; 10115 (2022)
    Schlagworte: Covid-19 pandemic; trade patterns; sectoral analysis; product analysis; stringency; policy responses; uncertainty; Europe; dynamic panel models; GMM estimator
    Umfang: 1 Online-Ressource (circa 33 Seiten), Illustrationen