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

Developing a composite index by using spatial latent modelling based on information theoretic... 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 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

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

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Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-014-0159-8
Publisher site
See Article on Publisher Site

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 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.

Journal

Quality & QuantitySpringer Journals

Published: Jan 9, 2015

References

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