This article deals with heterogeneity and spatial dependence in economic growth analysis by developing a two-stage strategy that 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 that 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 to 2000.
Identification and estimation of club convergence models with spatial dependence / R. Bernardini Papalia; S. Bertarelli. - In: INTERNATIONAL JOURNAL OF URBAN AND REGIONAL RESEARCH. - ISSN 0309-1317. - ELETTRONICO. - 37:6(2013), pp. 2094-2115. [10.1111/j.1468-2427.2012.01170.x]
Identification and estimation of club convergence models with spatial dependence
BERNARDINI PAPALIA, ROSA;BERTARELLI, SILVIA
2013
Abstract
This article deals with heterogeneity and spatial dependence in economic growth analysis by developing a two-stage strategy that 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 that 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 to 2000.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.