This study aims to contribute to the evaluation effort on public policies for rural development and support for family farming based on the Agroamigo Program, developed since 2005, aimed at the low-income group of farmers living in municipalities within the area of operation of the Banco do...

The general objective of this study is to analyze the prevalence of food and nutritional insecurity (FNI) in the Brazilian population, differentiating its incidence between urban and rural environments. To this end, a multinomial logit model was used with data from the Continuous National...

Identifying at-risk populations is essential for designing effective energy poverty interventions. Using data from the HILDA Survey, a longitudinal dataset representative of the Australian population, and a multidimensional index of energy poverty, we develop a machine learning model combined...