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. …

between countries. This application demonstrates the effectiveness of machine learning in quantitative social sciences. …

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

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 …

between schoolmates, which in turn decreases the overall achievement. A cooperative learning approach may instead emerge when … International Student Assessment (PISA) survey on students' literacy levels. A competitive learning approach has a positive …