Applied Econometrics and Machine Learning in Economics

This course aims to provide an "advanced introduction" to tools commonly used by practitioners of econometrics. Therefore, relatively little attention will be devoted to rigorous demonstrations. The main idea of this course is to describe what are the appropriate tools according to the type of problem faced by the practitioner, including the tools in terms of software ( R and Stata). The exercises will be used to facilitate the absorption of the covered equipment. Part of this course will be devoted to what is commonly called in the jargon "program evaluation" which consists essentially of the set of methodological tools used to measure the impact of interventions, such as the effect subsidized daycare centers on women's participation in the labor market or even fertility. Another portion of the course will cover the basics of what is called statistical learning and its more and more common use in economics.