Identifying and Interpreting Regional Convergence Clusters Across Europe

28 Pages Posted: 8 Mar 2005

See all articles by Luisa Corrado

Luisa Corrado

University of Rome Tor Vergata Department of Economics and Finance

Ron Martin

University of Cambridge - Gonville & Caius College

Melvyn Weeks

University of Cambridge - Faculty of Economics and Politics

Abstract

In this paper we test for regional convergence clusters across the EU. We utilise a methodology that allows for the endogenous selection of regional clusters using a multivariate test for stationarity, where the number and composition of clusters are determined by the application of pairwise tests of regional differences in per capita output over time. To interpret the composition of the resulting convergence clusters, the latter are tested against a number of possible groupings suggested by recent theories and hypotheses of regional growth and convergence. Further, our method allows regional convergence clusters to vary over time.

Suggested Citation

Corrado, Luisa and Martin, Ron and Weeks, Melvyn, Identifying and Interpreting Regional Convergence Clusters Across Europe. Economic Journal, Vol. 115, No. 502, pp. C133-C160, March 2005. Available at SSRN: https://ssrn.com/abstract=678428

Luisa Corrado (Contact Author)

University of Rome Tor Vergata Department of Economics and Finance ( email )

Via Columbia n.2
Rome, rome 00100
Italy

Ron Martin

University of Cambridge - Gonville & Caius College ( email )

Trinity Street
Cambridge CB2 1TA
United Kingdom

Melvyn Weeks

University of Cambridge - Faculty of Economics and Politics ( email )

Austin Robinson Building
Sidgwick Avenue
Cambridge, CB3 9DD
United Kingdom

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