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, R., Ciavolino E. (2015). Developing a composite index by using spatial latent modelling based on information theoretic estimatio. QUALITY & QUANTITY, DOI10.1007/s11135-014-0159-, 1-9 [10.1007/s11135-014-0159-].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
