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Quantitative Methods in Economic Inequality

Analysis of Inequality in Puebla

Economic inequality is a social phenomenon with several facets, all of which are significant when it comes to multidimensional measurement. When income is used as the fundamental variable of analysis to measure economic inequality, it is usual for income distribution to have a positive skew, which implies a high concentration of income in a small percentage of the population. To express the degree of inequality in the world, Oxfam (2020) has determined that “The 2,153 billionaires in the world own more wealth than 4,600 million people (60% of the world’s population)”, an alarming measure in which no government has concern. At the scientific level, the scope of studies on economic inequality range from explaining the causes and effects, to measuring the magnitude of inequality, and with the objective to promote proposals and actions aimed at finding a solution. In this sense this book arises as a response to reduce the enormous differences in income that exist between individuals. Thus, this book is an effort with three quantitative approaches (2015). The first is inequality seen as multidimensional poverty, which relies on a Principal Component Analysis.

The second one is a model based on the Gini coefficient and estimated from Nonlinear Ordinary Least Squares (NLOLS) and the last approach based on a Quantile Regression. All whose technical results offer an image of the State of Puebla that aims to favor long-term public policies to reduce economic inequality, which depends on the efforts of different actors in different scenarios: public, private, academic and governmental.

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Peso 120 g
Dimensiones 17 × .6 × 23 cm

978-607-8631-28-5 (UPAEP) 978-607-524-359-7 (MAP)


3332.0240087248 O489

No. Edición



Miguel Ángel Porrúa



Fecha de edición

Mayo 2021

No. de páginas





(Métodos cuantitativos (investigación)) (Política económica – México) (México – Condiciones económicas) (Disparidades económicas regionales)


Olivera Pérez, Emmanuel