Determinants of Poverty in Mexico: A Quantile Regression Analysis

Most studies on the determinants of poverty do not consider that relative importance each these can vary depending degree suffered by group poor people. For Mexico’s case, carried out so far contemplate this approach, even though there is wide variation in among different groups poor. Investigating differences important to design better policies for fighting poverty, which how variable explains affects people who suffer from differently. This article examines Mexican households. Using data National Household Income and Expenditure Survey (ENIGH) 2018, study estimates a probit model quantile regression examine extent across spectrum. The results indicate households with more than one member, having female head, or speaker an indigenous language are likely be obtained regressions significant simple ordinary least squares model, especially extreme but also other income categories analyzed several explanatory variables used models. Households extremely deeply most affected if they southern region household head speaks elderly person. It observed achieving higher educational level effective way increase