The aim of the study is to determine the income limit that separates rural families with and without food security, and to identify the factors that influence in the state of food insecurity of rural families in the Andes of Peru during the year 2015. Using the database of the National Survey of Homes produced by the National Institute of Statistics and Informatics of Peru, the income limit was obtained by estimating the modified Engel curve with two concavities, using the Ordinary Least Squares method; and through a Probit model, the factors influencing the state of food insecurity of rural families were identified. It is concluded that the income limit between families with and without food security is S/ 593.46 per month, which allowed a food expenditure of S/ 356.46 per month. Likewise, the factors that would reduce the state of food insecurity are constituted by: if the head of hous...

The aim of the study is to determine the income limit that separates rural families with and without food security, and to identify the factors that influence in the state of food insecurity of rural families in the Andes of Peru during the year 2015. Using the database of the National Survey of Homes produced by the National Institute of Statistics and Informatics of Peru, the income limit was obtained by estimating the modified Engel curve with two concavities, using the Ordinary Least Squares method; and through a Probit model, the factors influencing the state of food insecurity of rural families were identified. It is concluded that the income limit between families with and without food security is S/ 593.46 per month, which allowed a food expenditure of S/ 356.46 per month. Likewise, the factors that would reduce the state of food insecurity are constituted by: if the head of hous...

The aim of the study is to determine the income limit that separates rural families with and without food security, and to identify the factors that influence in the state of food insecurity of rural families in the Andes of Peru during the year 2015. Using the database of the National Survey of Homes produced by the National Institute of Statistics and Informatics of Peru, the income limit was obtained by estimating the modified Engel curve with two concavities, using the Ordinary Least Squares method; and through a Probit model, the factors influencing the state of food insecurity of rural families were identified. It is concluded that the income limit between families with and without food security is S/ 593.46 per month, which allowed a food expenditure of S/ 356.46 per month. Likewise, the factors that would reduce the state of food insecurity are constituted by: if the head of hous...

The aim of the study is to determine the income limit that separates rural families with and without food security, and to identify the factors that influence in the state of food insecurity of rural families in the Andes of Peru during the year 2015. Using the database of the National Survey of Homes produced by the National Institute of Statistics and Informatics of Peru, the income limit was obtained by estimating the modified Engel curve with two concavities, using the Ordinary Least Squares method; and through a Probit model, the factors influencing the state of food insecurity of rural families were identified. It is concluded that the income limit between families with and without food security is S/ 593.46 per month, which allowed a food expenditure of S/ 356.46 per month. Likewise, the factors that would reduce the state of food insecurity are constituted by: if the head of hous...

The objective of this study is to find the socioeconomic and proximate determinants of mortality in children under five years of age in Peru. To this end, the study focuses on the theoretical approach of  Mosley and Chen (1984) and employs the econometric methodology of the Cox semi-parametric and proportional hazards model and the Kaplan and Meier non-parametric model. With regard to socioeconomic determinants, the results show that the mother’s years of education, the household economic status, and the mother’s health coverage significantly reduce the risk of death for children under the age of five. Likewise, the mother’s years of education has a significant interaction effect with the household socioeconomic level and access to health service coverage, which influence child survival. As for the proximal determinants, the mother’s age, birth intervals, birth order, and he...