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Semi-Parametric Spatial Auto-Covariance Models Of Regional Growth In Europe

  • Roberto BASILE

    (ISAE, Institute for Studies and Economic Analysis and University of Macerata,)

  • Bernard GRESS

    (Department of Economics, University of California Riverside, Riverside, California)

We 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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Article provided by Region et Developpement, LEAD, Universite du Sud - Toulon Var in its journal Region et Developpement.

Volume (Year): 21 (2005)
Issue (Month): ()
Pages: 93-118

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Handle: RePEc:tou:journl:v:21:y:2005:p:93-118
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