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Old Wine in a New Bottle: Growth Convergence Dynamics in the EU

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  • Nicholas Apergis

  • Ekaterini Panopoulou

  • Chris Tsoumas

Abstract

In this paper, we explore convergence of real per capita output across the European Union (EU) countries, as well as the transitional behavior of possible underlying factors that are responsible for any convergence or divergence pattern. The new panel convergence methodology developed by Phillips and Sul ( 2007 ) is employed in a production function growth accounting approach and data from the Total Economy Database and the Total Economy Growth Accounting Database. The empirical findings suggest that the EU countries form two distinct convergent clubs, exhibiting considerable heterogeneity in the underlying growth factors. These findings should help policy makers in designing appropriate growth-oriented programs as well as in setting priorities in their implementation. Copyright International Atlantic Economic Society 2010

Suggested Citation

  • Nicholas Apergis & Ekaterini Panopoulou & Chris Tsoumas, 2010. "Old Wine in a New Bottle: Growth Convergence Dynamics in the EU," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 38(2), pages 169-181, June.
    • Handle: RePEc:kap:atlecj:v:38:y:2010:i:2:p:169-181
    DOI: 10.1007/s11293-010-9219-1
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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