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Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach*
Author(s) -
Canova Fabio
Publication year - 2004
Publication title -
international economic review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.658
H-Index - 86
eISSN - 1468-2354
pISSN - 0020-6598
DOI - 10.1111/j.1468-2354.2004.00117.x
Subject(s) - convergence (economics) , per capita income , per capita , attraction , econometrics , economics , conditional convergence , panel data , distribution (mathematics) , convergence clubs , income distribution , demographic economics , mathematics , macroeconomics , demography , inequality , population , mathematical analysis , linguistics , philosophy , sociology
The article proposes a technique, based on the predictive density of the data, conditional on the parameters of the model, to jointly tests for groups of unknown size in a panel and to estimate the parameters of each group. The procedure is applied to the problem of identifying convergence clubs in scaled income per capita data. The steady‐state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per capita of OECD countries has two poles of attraction and each group clearly identifiable economic characteristics. We share the uncommonness of being different. J. P. Roche