This study examines the determinants or correlates of
poverty in México. The data used in the study come from the
1996 National Survey of Income and Expenditures of
Households.
A logistic regression model was estimated based on this
data, with the probability of a household being extremely
poor as the dependent variable and a set of economic and
demographic variables as the explanatory variables. It was
found that the variables that are positively correlated with
the probability of being poor are: size of the household,
living in a rural area, working in a rural occupation and
being a domestic worker. Variables negatively correlated
with the probability of being poor are: the education level
of the household head, his/her age and whether he or she
works in a professional or middle level occupation