This paper deals with heterogeneity and spatial dependence in the economic growth analysis by developing a two stage strategy, which identifies clubs by a mapping analysis and estimates a club convergence model with spatial dependence. Since estimation of this class of convergence models in the presence of regional heterogeneity poses both identification and collinearity problems, we develop an entropy-based estimation procedure which simultaneously takes account of ill-posed and ill-conditioned inference problems. The two step strategy is applied to assess the existence of club convergence and to estimate a two- club spatial convergence model across Italian regions over the period 1970-2000.

IDENTIFICATION AND ESTIMATION OF CLUB CONVERGENCE MODELS WITH SPATIAL DEPENDENCE

BERTARELLI, Silvia
2013

Abstract

This paper deals with heterogeneity and spatial dependence in the economic growth analysis by developing a two stage strategy, which identifies clubs by a mapping analysis and estimates a club convergence model with spatial dependence. Since estimation of this class of convergence models in the presence of regional heterogeneity poses both identification and collinearity problems, we develop an entropy-based estimation procedure which simultaneously takes account of ill-posed and ill-conditioned inference problems. The two step strategy is applied to assess the existence of club convergence and to estimate a two- club spatial convergence model across Italian regions over the period 1970-2000.
2013
Bernardini Papalia, R.; Bertarelli, Silvia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1578868
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