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.
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