ability to that of character skills, and find that both cognition and personality affect behavior and learning. More agreeable … understand better how subjects with different cognitive abilities learn differently, we estimate a structural model of learning …

on a randomized field experiment involving two strategies designed to improve academic performance among entering full …

This paper consolidates recent methodological developments based on Double Machine Learning (DML) with a focus on …

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social … adage "once you understand OLS, you can work your way up to any other estimator," and apply it to Machine Learning. Focusing … and fire some trailblazers to the forefront of AI and causal machine learning. …

School closures, forced by the COVID-19 crisis in many countries, impacted on children's lives and their learning …. Distant learning solutions adopted by schools have been heterogeneous over countries, within countries and between school … levels. As a consequence, most of the burden of children's learning fell on their parents, with likely uneven results …

, grounded in active and cooperative learning, focuses on peer interaction, sharing of ideas, learning from mistakes, and problem …

conditional independence assumption and estimation is implemented using a recent double machine learning estimator. The study … sensitivity of estimates to tuning parameter choices in the machine learning part? (ii) How to assess covariate balancing in high …