We estimate sibling correlations in schooling (i.e., the fraction of inequality in educational outcomes that can be attributed to factors shared by siblings) for 94 countries, accounting for 85% of the world population. With this new database, we document several findings. On average, at least 51% of the inequality in schooling can be explained by shared family background. There are large regional differences, with North America and South Asia displaying the lowest and highest sibling correlations, respectively. There is important heterogeneity within some regions.

We estimate sibling correlations in schooling (i.e., the fraction of inequality in educational outcomes that can be attributed to factors shared by siblings) for 94 countries, accounting for 85% of the world population. With this new database, we document several findings. On average, at least 51% of the inequality in schooling can be explained by shared family background. There are large regional differences, with North America and South Asia displaying the lowest and highest sibling correlations, respectively. There is important heterogeneity within some regions.

This book offers an analysis of educational financing in Latin America and the Caribbean (LAC), highlighting that while investment in education is essential, the efficiency and effectiveness in the use of resources are decisive for improving learning outcomes and reducing educational gaps.

We study the effect of care dependence on hospitalizations among older persons in Mexico, analyzing data from the Mexican Health and Aging Study (MHAS) from 2001 to 2021. We use fixed-effects logistic regression to estimate the likelihood of hospitalization during the last year (yes/no) and high-dimensional fixed-effects models to assess its duration (number of nights at the hospital). Our analysis reveals that difficulties with Activities of Daily Living (ADLs) and/or Instrumental Activities of Daily Living (IADLs) increase both the risk and the duration of hospitalizations.

La gestión eficiente y segura de los datos constituye un pilar fundamental para el diseño e imple-mentación de políticas públicas efectivas. En este contexto, la Subsecretaría de Previsión Social del Ministerio del Trabajo y Previsión Social de Chile está avanzando en el diseño e implementación del proyecto “Nodo Laboral-Previsional”, que tiene como objetivo crear una infraestructura de interoperabilidad de datos en el ámbito laboral y previsional. Esta iniciativa busca consolidar y facilitar el intercambio eficiente de información entre las instituciones clave del sector.

In this article, we present the impact evaluation of Irûmi, an educational robot-based intervention aimed at developing second-grade students' computational thinking (CT) skills in Paraguay. Our results indicate that the program had an effect of 0.09 standard deviations on the students' CT skills, focusing on abilities such as abstraction, algorithmic thinking, and evaluation. These findings suggest that with age-appropriate instructional design, very young children could develop CT skills and, that smart devices and electronic toys can contribute to their development at early ages.