Abstract: The objective of this paper is to develop a GME formulation for the class of spatial structural equations models (S-SEM). In this respect, two innovatory aspects are introduced: (i) the formalization of the GME estimation approach for structural equations models that account for spatial heterogeneity and spatial dependence; (ii) the extension of the methodology to a panel data framework. We also present an application of the method to real data finalized to investigate disparities of unemployment rates in OECD countries over the period 1998-2006.

Bernardini Papalia R., Ciavolino E. (2011). GME estimation of spatial structural equations models. JOURNAL OF CLASSIFICATION, 28 (1), 126-141 [10.1007/s00357-011-9073-0].

GME estimation of spatial structural equations models

BERNARDINI PAPALIA, ROSA;
2011

Abstract

Abstract: The objective of this paper is to develop a GME formulation for the class of spatial structural equations models (S-SEM). In this respect, two innovatory aspects are introduced: (i) the formalization of the GME estimation approach for structural equations models that account for spatial heterogeneity and spatial dependence; (ii) the extension of the methodology to a panel data framework. We also present an application of the method to real data finalized to investigate disparities of unemployment rates in OECD countries over the period 1998-2006.
2011
Bernardini Papalia R., Ciavolino E. (2011). GME estimation of spatial structural equations models. JOURNAL OF CLASSIFICATION, 28 (1), 126-141 [10.1007/s00357-011-9073-0].
Bernardini Papalia R.;Ciavolino E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/86387
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