The Gary Chamberlain Online Seminar in Econometrics
A regular open online international inter-institutional econometrics seminar in honor of Gary Chamberlain (1948–2020)
Mailing List
To stay up to date about upcoming presentations please join our mailing list!
Upcoming Seminar Presentations
Friday, Apr 10, 2020, noon ET / 5pm London
Tim Armstrong (Yale): "Robust Empirical Bayes Confidence Intervals" (with Michal Kolesár and Mikkel Plagborg-Møller)
Registration link will come a few days before the seminar. Please join our mailing list above if you would like to receive an email.Friday, Apr 24, 2020, noon ET / 5pm London
Mikkel Plagborg-Møller (Princeton): "Local Projection Inference is Simpler and More Robust Than You Think" (with José Luis Montiel Olea)
All seminars are Fridays at noon ET (5pm London / 11am CT / 9am PT). We hope to hold seminars at different times in the future to accommodate other time zones.
Format and Rules
The seminars are held on Zoom and last 90 minutes:
60 minutes of presentation
15 minutes total of comments and questions by two or three designated discussants
15 minutes of audience comments and questions
A moderator collects audience questions in chat. Please stay muted until called by the moderator.
Seminars will be recorded and available on the webpage a few days after. Please note that you may be recorded if you activate your video or speak during the seminar.
This is an experiment and you are part of the treatment group – all these details are subject to change.
Contact
If you want to get in touch, have feedback or suggestions, want to propose a speaker or volunteer as a discussant, please e-mail us at chamberlainseminar@gmail.com or fill out the feedback form. If you are hosting your own seminar, we would like to hear from you, list your seminar, and we invite you to share your best practices and sign up for the "online seminar organizers" e-mail list.
Organizers
Alberto Abadie (MIT), Isaiah Andrews (Harvard), Stéphane Bonhomme (Chicago), Xiaohong Chen (Yale), Guido Imbens (Stanford), Michal Kolesár (Princeton), Anna Mikusheva (MIT), Jann Spiess (Stanford), Martin Weidner (UCL)