Medición multidimensional de la pobreza urbana en el ecuador a través de la lógica difusa: análisis de la Encuesta de Condiciones de Vida 2014

Abstract

This work proposes to caracterise and to measure urban poverty in Ecuador through a fuzzy multidimensional approach, to analyze the relevancy of this approach versus traditional measurement approaches frequently use in the country, and to quantify potential determinants of the degree of membership of households to poor households set. The data use is the Sixth Living Conditions Survey database, it provides information related to well-being of the population. The index is calculated considering totally fuzzy relative (TFR) approach. A linear and two nonlinear models, probit and logit, are estimated to analyze the potential determinants of poverty. This index considers 16 indicators grouped around 4 dimensions: house conditions, income and expenses, employment and education. The level of index shows that the coast region has the highest degree of membership to the set of poor households and this region has the highest incidence level if traditional measurement approaches are considered. The multidimensional fuzzy index is consistent with traditional measurement approaches index. Finally, the determinants of the membership to the set of poor households are related to: household attributes, household head attributes and household head parents attributes. In Ecuador there is evidence that poverty is related to social exclusion