This paper brings new evidence on the impact of The Peruvian Job Youth Training Program (Projoven). Compared with prior evaluations of the program, this one has several advantages. This is the first experimental impact evaluation of Projoven, and also the first to measure impacts over a longer period: almost three years after training. Additionally, the evaluation supplements data from a follow-up survey with administrative data from the country's Electronic Payroll (Planilla Electrónica), allowing for a more accurate measure of formal employment.

This paper provides new evidence to characterize changes in the demand for skills associated with shifts in occupations for a sample of 10 of the G20 countries, using information available from LinkedIn profiles as a new and unique source of dynamic labor market data on occupations and skills. A unique feature of LinkedIn’s data is the availability of granular measures of skill importance by country and occupation.

We use a field experiment to evaluate the impact of two informational get-out-the-vote (GOTV) campaigns to boost female electoral participation in Paraguay. We find that public campaigns had no effect either on the probability of registration, or on voter turnout in the 2013 presidential election. However, households that received door-to-door (D2D) treatment were four percentage points more likely to vote.

Education spending has significantly increased in Latin America and the Caribbean (LAC) over the last few decades. Most education systems in the region have improved teacher salaries, introduced programs that focus on improving learning in the most disadvantaged schools and systemic accountability. The available data suggests that increased spending combined with economic and social reforms has had an impact on educational outcomes such as improvement on primary and secondary completion rate and moderate but sustained progress in closing the learning gap with more developed countries.

Uruguay is one of very few countries in Latin America that has a nationally representative, longitudinal survey of early childhood development. In 2015–2016, during the second wave of the survey, an observational module on the home environment was administered at scale for the first time. The module included items from two subscales (responsiveness and acceptance) of a widely used instrument that measures the quality of the physical and emotional environment: the HOME inventory.

This document contains the appendices to "Is Results-Based Aid More Effective than Conventional Aid? Evidence from the Health Sector in El Salvador".

Recent technological innovation in fields such as robotics, automation, and machine learning have reduced the number of workers required in a range of sectors, while lowering costs and increasing reliability. This trend has led policymakers, academics, CEOs, and entrepreneurs to ask what types of jobs will be most affected, what new skillsets will be needed for the jobs of tomorrow, and how governments can ease the transition.

We study the determinants of math achievement among children in early elementary school using data from a unique experiment in which children were randomly assigned to classrooms within schools for four consecutive grades. As a result, each child in our sample was exposed to four separate, orthogonal shocks to the quality of teachers and peers. We first show that there are steep socioeconomic gradients and a substantial boy-girl gap in math test scores. However, among children of mothers with university education, there is no difference in the math achievement of girls and boys.