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. …

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

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 …

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 …

rule that is as-good-as-random. We collected data on children at the beginning of the school year, and applied 12 tests of …

method of simulated moments using longitudinal data from the Avon Longitudinal Study of Parents and Children. The results …

Understanding how variation in weather and climate conditions impact productivity, performance and learning is of …

investigate where inequality is greatest, the association between inequality in learning and average levels of learning, the …. Our analysis is based on test score data for 21 countries present in the Trends in International Mathematics and Science …