The objective of this paper is to analyze the determinants of poverty in Peru under the asset approach. Through the analysis of the logistic regression model, it is found that access to basic services such as drinking water, electricity, toilets and telephone, significantly reduce the probability of being poor, as well as owning the property of the dwelling that is inhabited and that it has a greater number of rooms reduces the probability of being poor. While having no education, head of household with native Quechua language, Aymara or other native language and families with larger number of members increases the likelihood of falling into poverty.

The objective of this paper is to analyze the determinants of poverty in Peru under the asset approach. Through the analysis of the logistic regression model, it is found that access to basic services such as drinking water, electricity, toilets and telephone, significantly reduce the probability of being poor, as well as owning the property of the dwelling that is inhabited and that it has a greater number of rooms reduces the probability of being poor. While having no education, head of household with native Quechua language, Aymara or other native language and families with larger number of members increases the likelihood of falling into poverty.