نبذة مختصرة : The Kuznets hypothesis suggests that, an increase in personal income increases inequality in the short term, but decreases it in the long term, as the labor force is migrating between economic sectors with different levels of productivity. This idea was widely accepted for many years, with few studies to corroborate it. However, according to statistical techniques, access to quality statistical data was being outlined and expanded, evidence for and against the hypothesis was added, generating an unfinished debate. This paper delves into the Kuznets hypothesis, setting itself the objective of verifying if this is fulfilled in Ecuador for the period between 2003 and 2018. For this, a polynomial regression model was formulated, making two estimates with it. The first estimate is made using the variables Gini coefficient and GDP per capita expressed in natural logarithm; and, second, between the participation in income and the GDP per capita expressed in logarithms. Although it is true, the model complies with the assumptions established by the Kuznets hypothesis and presents, in its generality, statistical significance, but an individual evaluation of the parameters allows to conclude that the Kuznets hypothesis is not fulfilled for Ecuador. ; La hipótesis de Kuznets sugiere que, un au- mento de la renta personal incrementa la desigualdad en el corto plazo, pero la disminuye en el largo plazo, conforme la fuerza laboral vaya migrando entre sectores económicos con diferentes niveles de productividad. Esta idea fue ampliamente aceptada por muchos años, con pocos estudios que la corroboraran. Sin embargo, conforme las técnicas estadísticas se perfilaban y se ampliaba el acceso a datos estadísticos de calidad, se fueron sumando evidencias a favor y en contra de la hipótesis, generándose un debate inacabado. El presente artículo profundiza en la hipótesis de Kuznets, planteándose como objetivo comprobar si ésta se cumple en Ecuador para el período comprendido entre 2003 y 2018. Para esto, se formuló un modelo de ...
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