Determinante associados à insegurança alimentar: panorâmica dos domicílios da região Norte brasileira

Abstract

This study's main objective is to evaluate factors that influence the food security of households in the Northern Region of Brazil through a logistic regression model, this model classifies the dependent variable by the linear combination of the independent variables through a link function called lógite. The work data comes from the Family Budget Survey – POF for the year 2017-2018 carried out by IBGE. Per capita disposable income was consistently identified as one of the most relevant factors in all states analyzed. With each increase in per capita income, there was a significant reduction in the chances of the household experiencing some degree of food insecurity. This data reinforces the importance of public policies aimed at generating income and reducing economic inequalities to improve the quality of life of vulnerable populations.