Descriptive Statistics, Regression Analysis, and Tests of Hypotheses of Interdependencies of Health, Education, and Economic Outcomes

This chapter is composed of two major parts. The first one measures interactions and interconnections between health and education using aggregate data on South Mediterranean countries. It focuses on Principal Components Analysis (PCA), descriptive statistics, and regression analysis. This latter is based on different clusters concerning the likely potential links between education, health, and income. The results attained show how different series of results are obtained. The inter-relations identified do account for health, education, and income variables, and are sensitive to the type of data mobilized. This illustrates how ICTs can be used to respond to the analysis required in this type of situation. The second part addresses the directions of links between health, education, and income, and introduces causality tests. This is established in the context of the regional data on South Mediterranean countries. The analysis is consequently conclusive about the role of education based on the data used. Coordination of actions can then target education as the main source of causal relationships. This type of analysis has the merit of facilitating the use of ICTs in the coordination process.