This study aims to develop new statistical methodologies in the area of Linear/Nonlinear Models and Time Series in order to model and predict the behaviour of economic and social inequality, levels of justice and the distribution of income in Eurozone countries and Latin America. We intend to propose the use of multivariate techniques (CA and FA/PCA) to incorporate the analysis of the multidimensional data, particularly to propose a classification algorithm (a CA in an appropriate variant) by applying different distances to comparison of the various levels/indicators studied in order to evaluate the difference in their behaviour in different countries and regions. |