Determinantes de la pobreza rural en México: Caso de 5 localidades
Determinants of rural poverty in México: Case of 5 localities
Abstract (en)
With the objective of addressing the scheme of the ght against poverty in Mexico and the denition of strategies for an adequate public policy, an analysis methodology is proposed that identied the probability of risk in ve localities affected by poverty. For this, the degree of sensitivity of the variables that explain the poverty condition of the heads of household in 5 rural locations in Mexico was identied; Based on information collected through a census, a probabilistic regression model was formulated, with which three types of indicators were estimated: marginal effects, elasticities and odds ratio. Among the main results, it is worth highlighting that variables such as income, educational level, overcrowding and housing services have an inverse relationship in probability, while food, sex, and speaking indigenous language indicate a direct relationship in the prevailing factors. about the probability that the head of household is poor. Concluding that the explanatory factors of qualitative and quantitative nature of the head of household, in combination with those related to housing and the home, allow generating probability
distributions consistent with the theoretical argument.
Abstract (es)
Con el objetivo de abordar el esquema de la lucha contra la pobreza en México y la denición de estrategias para una política pública adecuada, se propone una metodología de análisis que identicó la probabilidad de riesgo en cinco localidades. Para esto, se identicó el grado de sensibilidad de las variables que explican la condición de pobreza de los jefes/jefas de hogar en 5 localidades rurales de México; con base en información recolectada a través de un censo, se formuló un modelo de regresión probabilístico, con el cual se estimaron tres tipos de indicadores: efectos
marginales, elasticidades y razón de momios. Dentro de los principales resultados destaca que las variables como el ingreso, nivel educativo, hacinamiento y servicios en la vivienda presentan una relación inversa en la probabilidad, mientras que, alimentación, sexo, y hablar lengua indígena indican una relación directa en los factores que prevalecen sobre la probabilidad de que el jefe/jefa de hogar sea pobre. Concluyendo que los factores explicativos de naturaleza cualitativa y cuantitativa propios del jefe/jefa de hogar, en combinación a los relacionados con la vivienda y el hogar, permiten generar distribuciones de probabilidad consistentes con la argumentación teórica.
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