The focus of this paper is on spatial structural equation models (S-SEM) also extended to a Panel data framework. More specifically, our objective is to introduce a generalized maximum entropy formulation for the class of S-SEM with the aim of developing a composite index. We present an application of the method to real data finalized to investigatedynamicsandcomplexinteractionsbetweensomeselecteddimensionsthatrepresentthe mainmeasuresofintangibleassetsforapanelofOECDcountriesovertheperiod1998–2008.

Developing a composite index by using spatial latent modelling based on information theoretic estimatio

BERNARDINI PAPALIA, ROSA;
2015

Abstract

The focus of this paper is on spatial structural equation models (S-SEM) also extended to a Panel data framework. More specifically, our objective is to introduce a generalized maximum entropy formulation for the class of S-SEM with the aim of developing a composite index. We present an application of the method to real data finalized to investigatedynamicsandcomplexinteractionsbetweensomeselecteddimensionsthatrepresentthe mainmeasuresofintangibleassetsforapanelofOECDcountriesovertheperiod1998–2008.
bernardini papalia, Rosa; Ciavolino E.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/555650
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