Our thesis explores the drop-out motives of a panel of Peruvian children, provided by the Young Lives program (Boyden, April 2014). We used survival analysis with both, a non-parametric estimation (Kaplan-Meier survival estimates) and a semi-parametric estimation (Cox proportional hazards (PH) model). Our results suggest that the child's initial conditions are relevant determinants of the drop out decision. Also, we found evidence to support the importance of the wealth level, the location of the household and the sex of the caregiver, for the drop-out decision.

This study aims to evaluate the relationship between private school's attendance and student's allocation of time on educational activities outside school. In this sense, our analysis focuses on student's learning investments throughout their educational progress. We model parent's consumption decisions and private schooling choice to predict a positive relationship between children's educational investments at home and parents' welfare. Using this analytical framework we aim to interpret reduced form results.

This study aims to identify and analyze gaps in cognitive and socio-emotional development between public and private school children in Peru's urban areas. The study uses data from Young Lives and has a mixed methods design. In the quantitative analysis, we apply a Propensity Score Matching (PSM) approach to compare cognitive and socio-emotional outcomes between private and public school children. In the qualitative analysis, we explore if differences in cognitive and socio-emotional development could be reflected in different children´s school experiences.