Time series and spatial interaction: An alternative method to detect converging clusters
Matthias Koch () and
Tamás Krisztin ()
ERSA conference papers from European Regional Science Association
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 â€˜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.
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa11p1678
Access Statistics for this paper
More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().