Choose to follow the Econometrics Pathway, to deepen your knowledge of Econometrics with courses in Treatment Effects (morning session) and Machine Learning (afternoon session).
Or mix and match, choosing different morning or afternoon sessions from our other pathways: Applied or Macroeconomics.
Through a mixture of theory and substantive applications, this short course will introduce you to important issues that are typically ignored in a first course in causal inference.
Topics covered
Spill overs
Policy - relevant treatment effects
Studies that combine structural and reduce forms
Afternoon Session
An Introduction to the Foundations of Machine Learning
The goal of this course is to provide you with a quick but solid introduction to a theoretical foundations of machine learning.
What you'll gain from the course
Become critical consumers of machine learning research, including an understanding when new methods might or might not be useful for empirical work in economics
Develop your own research agenda around importing ideas from machine learning into economic and econometric theory
Be able to speak to the machine learning literature, contributing ideas from economics