Principal Component Analysis, STATIS methodology, Three-way data methods, well-being indicators


This paper presents the main concepts and results of Data Analysis aims to analyze the evolution of some developed countries and also of some emerging countries that are members of the Organisation for Economic Co-operation and Development (OECD) in what concerns some indicators or variables of well-being during the period 2011-2015, through the STATIS (Structuring Three-way data sets in Statistics) methodology. This methodology allows to analyze the presence of a common structure in several data tables obtained over time, to identify the differences and similarities along the period of time under study and according to well-being indicators included in the “Your Better Life Index” of the OECD, and to analyze the trajectories of the countries. 


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Biografia do Autor

Fabricio Javier Rivadeneira, Facultad de Ciencias Informáticas, Universidad Laica Eloy Alfaro de Manabí (ULEAM)

Facultad de Ciencias Informáticas, Universidad Laica Eloy Alfaro de Manabí, vía Circunvalación s/n, 130802 Manta, Ecuador

Adelaide Maria Figueiredo, Faculdade de Economia, Universidade do Porto and INESC - TEC Porto

Faculty of Economics and LIAAD/INESC-Porto, University of Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal

Fernanda Otília Figueiredo, Universidade do Porto

Faculty of Economics, University of Porto and CEAUL, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal

Silvia Mercedes Carvajal, Facultad de Economía, Universidad Técnica de Manabí (UTM)

Facultad de Economía, Universidad Técnica de Manabí, Av. Urbina y Che Guevara, 130104 Portoviejo, Ecuador

Rodolfo Andres Rivadeneira, Facultad de Ingeniería Química, Universidad Técnica de Manabí (UTM)

Facultad de Ingeniería Química, Universidad Técnica de Manabí, Av. Urbina y Che Guevara, 130104 Portoviejo, Ecuador


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Como Citar

Rivadeneira, F. J., Figueiredo, A. M., Figueiredo, F. O., Carvajal, S. M., & Rivadeneira, R. A. (2016). ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY. HOLOS, 7, 335–350.