In Peru, in the period 2009-2015, both monetary poverty and extreme monetary poverty at the national level have declined, however, rural poverty levels are still very high, poverty is higher in the sierra than in the jungle and the coast at rural area. Likewise, rural populations are the ones that have benefited least from Peru's economic growth in this period, mainly the population living in the highlands. On the other hand, extreme poverty or extreme poverty affects almost exclusively the rural population of the sierra and the jungle. On the other hand, one of the main problems facing social programs in Peru is the targeting, which generates the problem of leakage and undercoverage, which in turn generates an increase in social costs. During the review period, the budget for these programs has increased while progress in reducing poverty levels has not been very significant, as the red...

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.

En el Perú, en el período 2009-2015, tanto la pobreza monetaria como la pobreza extrema monetaria a nivel nacional han disminuido, no obstante, los niveles de pobreza rural aún son muy altos, la pobreza es mayor en la sierra que en la selva y la costa. La población rural es la que menos se han beneficiado del crecimiento económico que registró el Perú en este periodo, principalmente la población rural que vive en la sierra. Por su parte, la indigencia o pobreza monetaria extrema afecta casi exclusivamente a la población rural de la sierra y la selva. Por otro lado, uno de los principales problemas que padecen los programas sociales en el Perú es la focalización, lo que genera el problema de la filtración y subcobertura, lo que a su vez genera un incremento en los costos sociales. En el período de análisis el presupuesto destinado a estos programas se ha incrementado mientra...

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.