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

Rosa Bernardini Papalia () and Enrico Ciavolino

Quality & Quantity: International Journal of Methodology, 2015, vol. 49, issue 3, 989-997

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. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Spatial structural equation models; Generalized maximum entropy; Composite indicators; Intangible assets (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:49:y:2015:i:3:p:989-997

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DOI: 10.1007/s11135-014-0159-8

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