Ariel Vázquez, Abigail Reyes, María Carrillo
Objective: Establish a management index on variables of socioeconomic development and health in the municipalities of the Mexican Republic. Methodology: Official information related to social development and health of the National Institute of Statistics and Geography (INEGI), National Institute for Federalism and Municipal Development (INAFED) and the National Council for the Evaluation of Social Development Policy (CONEVAL) variables was obtained from 2010. Were analyzed 13 variables by multivariate principal component analysis (ACP) generating new variables to express the information in the original dataset, to reduce the dimensionality of the problem being studied as a preliminary step for future analysis, and eliminate original variables as possible, if they can provide little information (Pla, 1986). Results: The cumulative percentage of variability explained by the three principal components was 66.38 %. Subsequently, a correlation coefficient between the components and the variables involved. Conclusions: The first component is positively correlated with variables employed population with income up to 2 minimum wages, population 15 years and over had not completed primary and total population entitled Seguro Popular, and negatively with total current income per capita monthly (ICTPC).
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