Semi-Parametric Spatial Auto-Covariance Models Of Regional Growth In Europe
AbstractWe propose a semi-parametric spatial auto-covariance specification of the growth model to examine the growth behaviour of European regions in the period 1988-2000. This specification simultaneously takes account of the problems of non-linearities and spatial dependence. We obtain two main results. First, there is a trade-off between the identification of non-linearities and the estimation of the spatial parameters. Second, even when controlling for spatial dependence, there is evidence of strong non-linearity between regional growth and its predictors. In particular, the relation between growth and unemployment is negative but not globally linear: regions with an unemployment rate over a certain threshold appear to be 'locked' within an 'underdevelopment trap' with similar lower growth rates.
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Bibliographic InfoArticle provided by Region et Developpement, LEAD, Universite du Sud - Toulon Var in its journal Region et Developpement.
Volume (Year): 21 (2005)
Issue (Month): ()
REGIONAL CONVERGENCE; EUROPE; SPATIAL ECONOMETRICS; MULTIPLE REGIMES; SEMI-PARAMETRIC MODELS;
Find related papers by JEL classification:
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- O52 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Europe
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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