Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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Developing a Composite Index by using Spatial Latent Modelling based on IT estimation
Rossella Bernardini Papalia, Enrico Ciavolino

Last modified: 2013-06-14

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 spatial structural equations models with the aim of developing a composite index. We present an application of the method to real data finalized to investigate dynamics and complex interactions between some selected dimensions that represent the main measures of intangible assets for a panel of OECD countries over the period 1998-2008

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