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Euro Area Structural Convergence? A Multi-Criterion Cluster Analysis

Author

Listed:
  • Delphine Irac

    (Centre de recherche de la Banque de France - Banque de France)

  • Jimmy Lopez

    (LEDi - Laboratoire d'Economie de Dijon - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique, Centre de recherche de la Banque de France - Banque de France)

Abstract

This paper proposes a classification of the old member countries of the euro area in a structural data rich environment and run a convergence analysis using the same framework. First, we use a clustering approach and identify two structurally distinct clusters of countries that are not modified between 1999 and 2012: the South Countries Group (SCG) – composed of Greece, Italy, Portugal and Spain – and the Other Countries Group (OCG). Second, we propose a convergence metrics and reach three key findings: (i) increase over time of the between-clusters? dispersion; (ii) diverging demographics and innovation performance into the OCG, and (iii) an unfortunate convergence towards high labour market duality in the SCG.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Delphine Irac & Jimmy Lopez, 2015. "Euro Area Structural Convergence? A Multi-Criterion Cluster Analysis," Post-Print halshs-01227965, HAL.
  • Handle: RePEc:hal:journl:halshs-01227965
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    Cited by:

    1. Dieppe, Alistair & Mourinho Félix, Ricardo & Marchiori, Luca & Grech, Owen & Albani, Maria & Lalouette, Laure & Kulikov, Dmitry & Papadopoulou, Niki & Sideris, Dimitris & Irac, Delphine & Gordo Mora, , 2015. "Public debt, population ageing and medium-term growth," Occasional Paper Series 165, European Central Bank.
    2. Tomas Adam & Oxana Babecka Kucharcukova & Jan Babecky & Vojtech Belling & Sona Benecka & Jan Bruha & Kamil Galuscak & Tomas Holub & Eva Hromadkova & Lubos Komarek & Zlatuse Komarkova & Kamila Kulhava , 2015. "Analyses of the Czech Republic's Current Economic Alignment with the Euro Area 2015," Occasional Publications - Edited Volumes, Czech National Bank, Research and Statistics Department, number as15 edited by Kamila Kulhava & Lucie Matejkova.
    3. Iustina Alina Boitan & Ewa Wanda Maruszewska, 2021. "Corporate governance features among European Union countries – an exploratory analysis," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 13(1), pages 79-91, June.
    4. Iustina Alina Boitan & Kamilla Marchewka-Bartkowiak, 2021. "The Sovereign-Bank Nexus in the Face of the COVID-19 Pandemic Outbreak—Evidence from EU Member States," Risks, MDPI, vol. 9(5), pages 1-21, May.
    5. Philip Haynes & David Alemna, 2023. "Convergence Trends in Euro Economies: Financial Crisis Recovery and the COVID-19 Pandemic," Economies, MDPI, vol. 11(11), pages 1-18, November.
    6. Katerina Arnostova & Oxana Babecka Kucharcukova & Jan Babecky & Marek Benda & Sona Benecka & Jan Bruha & Michal Franta & Dana Hajkova & Eva Hromadkova & Lubos Komarek & Zlatuse Komarkova & Martin Kotl, 2022. "Analyses of the Czech Republic's Current Economic Alignment with the Euro Area 2022," Occasional Publications - Edited Volumes, Czech National Bank, Research and Statistics Department, number as22 edited by Katerina Arnostova & Vojtech Molnar.
    7. repec:ecb:ecbops:2014165 is not listed on IDEAS
    8. Philip Haynes & Jonathan Haynes, 2016. "Convergence and Heterogeneity in Euro Based Economies: Stability and Dynamics," Economies, MDPI, vol. 4(3), pages 1-16, August.
    9. Iustina Alina Boitan & Emilia Mioara Campeanu & Sanja Sever Malis, 2021. "Economic Sentiment Perceptions During COVID-19 Pandemic – A European Cross-Country Impact Assessment," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(Special15), pages 982-982, November.

    More about this item

    Keywords

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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