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A spatially filtered mixture of beta-convergence regressions for EU regions, 1980-2002

  • Autori: Battisti, M; Di Vaio, G
  • Anno di pubblicazione: 2008
  • Tipologia: Articolo in rivista (Articolo in rivista)
  • Parole Chiave: Regional growth - Convergence patterns - Mixture regression - Spatial effects
  • OA Link:


Assessing regional growth and convergence across Europe is a matter of primary relevance. Empirical models that do not account for structural heterogeneities and spatial effects may face serious misspecification problems. In this work, a mixture regression approach is applied to the beta-convergence model, in order to produce an endogenous selection of regional growth patterns. A priori choices, such as North-South or centre-periphery divisions, are avoided. In addition to this, we deal with the spatial dependence existing in the data, applying a local filter to the data. The results indicate that spatial effects matter, and either absolute, conditional, or club convergence, if extended to the whole sample, might be restrictive assumptions. Excluding a small number of regions that behave as outliers, only a few regions show an appreciable rate of convergence. The majority of data show slow convergence, or no convergence at all. Furthermore, a dualistic phenomenon seems to be present inside some States, reinforcing the "diverging-convergence" paradox.