Cataldo, Rosanna (2016) Developments in PLS-PM for the building of a System of Composite Indicators. [Tesi di dottorato]


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Item Type: Tesi di dottorato
Lingua: English
Title: Developments in PLS-PM for the building of a System of Composite Indicators
Date: 31 March 2016
Number of Pages: 191
Institution: Università degli Studi di Napoli Federico II
Department: Scienze Economiche e Statistiche
Scuola di dottorato: Scienze economiche e statistiche
Dottorato: Statistica
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
Lauro, Natale
Grassia, Maria GabriellaUNSPECIFIED
Lauro, Natale CarloUNSPECIFIED
Date: 31 March 2016
Number of Pages: 191
Uncontrolled Keywords: Composite Indicators; PLS-PM; Higher-Order Construct
Settori scientifico-disciplinari del MIUR: Area 13 - Scienze economiche e statistiche > SECS-S/01 - Statistica
Area 13 - Scienze economiche e statistiche > SECS-S/05 - Statistica sociale
Date Deposited: 13 Apr 2016 14:06
Last Modified: 07 Nov 2016 10:44


Many phenomena are complex and therefore difficult to measure and to evaluate. Research, in the last years, has been focusing on the development and use of Composite Indicators (CIs) in order to obtain a global description of a complex phenomenon, and to convey a suitable synthesis of information. The existing literature offers several alternative methods for obtaining a composite indicator. The work focuses on building them through to SEM, specifically with the use of PLS-PM. In recent years many advances have been developed, in the context of these models to solve some problems related to the role that the CIs play within that system and linked to the heterogeneity within the data. For this, the work reviews the main developments of the PLS-PM connected to solve these problems. In particular, the research focuses on a particular aspect linked to the high level of abstraction, proposing several alternative methods for analyzing and studying Higher-Order Constuct CI, on the calculation of the estimates for the determination of endogenous block, so as to be the best estimated and represented by the blocks below.


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