The Econometrics Reading Group is a joint project started in 2017 by Ph.D. students from the Economics and Agricultural and Resource Economics (ARE) departments. The group helps graduate students stay up-to-date with recent developments in statistical and econometric methods that are relevant for applied work and provides a welcoming space for students to present their own work. The high faculty-to-student ratio allows students to receive detailed and coordinated feedback from multiple faculty members.
The group meets once a week for an hour in the fall and spring quarters. In each session a student or faculty member briefly presents a paper and then leads a group discussion. In general, the papers for a quarter follow a theme. Some examples of topics we have covered so far are machine learning for causal inference and new developments in panel data analysis. All interested graduate students are welcome to attend.
To subscribe, please send an email to email@example.com with the subject “subscribe”.