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Current Account Balances’ Divergence in the Euro Area: An Appraisal of the Underlying Forces

Author

Listed:
  • Faure Emmanuelle
  • Mignon Valérie

    (EconomiX-CNRS, University of Paris Nanterre, Nanterre, France)

  • Grekou Carl

    (CEPII and EconomiX-CNRS, Paris, France)

Abstract

This paper revisits the crucial issue of current account imbalances and focuses on the determinants of their gaps between eurozone Member States. We conduct robust estimations of the current account balances for a panel of ten founding euro area economies and construct a measure that allows us to diagnose why some countries have started to diverge from the eurozone mean in the last two decades. Our findings show evidence of remaining differences in countries’ economic development, meaning that real macroeconomic convergence has failed in the zone. Price and cost competitiveness, as well as fiscal balances, have also participated in this growing macroeconomic divergence. Overall, while the European authorities cannot influence the part of the current account gaps due to demographic factors, the role of fiscal redistribution and investment at the euro area level could help achieve macroeconomic convergence and thus reduce current accounts’ divergence in the zone.

Suggested Citation

  • Faure Emmanuelle & Mignon Valérie & Grekou Carl, 2024. "Current Account Balances’ Divergence in the Euro Area: An Appraisal of the Underlying Forces," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 353-398, January.
  • Handle: RePEc:bpj:bejmac:v:24:y:2024:i:1:p:353-398:n:13
    DOI: 10.1515/bejm-2023-0158
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    More about this item

    Keywords

    current account; global imbalances; eurozone;
    All these keywords.

    JEL classification:

    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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