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Time series and spatial interaction: An alternative method to detect converging clusters

Author

Listed:
  • Stilianos Alexiadis
  • Matthias Koch
  • Tamás Krisztin
Abstract
In this paper an attempt is made to assess the hypothesis of regional club-convergence, using a spatial panel analysis combined with B-Splines. In this context, a ‘convergence-club' is conceived as a group of regions that in the long-run move towards steady-state equilibrium, approximated in terms of the average per-capita income. Using data for the US states over the period 1929-2005, a pattern of club-convergence is detected. The 'cluster' of converging states is rather limited and a strong spatial component is detected.

Suggested Citation

  • Stilianos Alexiadis & Matthias Koch & Tamás Krisztin, 2011. "Time series and spatial interaction: An alternative method to detect converging clusters," ERSA conference papers ersa11p1678, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa11p1678
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    References listed on IDEAS

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