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2021 Stata
Economics Virtual Symposium
10 November

About the

Join us for the first Stata Economics Virtual Symposium—a meeting of econometric theory and applied research using Stata. Listen to invited speakers talk about econometrics applicable to researchers in a wide range of fields. The virtual platform allows you to experience this one-day event from wherever you are. Seats are limited. Register now to learn from and connect with fellow Stata users.


Enjoy insightful and informative presentations by experienced Stata users in their field.
*All times CST

Session one

Uniform nonparametric inference in time series via Stata

Jia LiSingapore Management University 8:30 a.m.

Panel-data models with large N and large T: An overview

Jan DitzenFree University of Bozen-Bolzano 9:00 a.m.

Instrumental-variable estimation of large-T panel-data models with common factors

Sebastian KripfganzUniversity of Exeter Business School Coauthor: Vasilis SarafidisBI Norwegian Business School 9:45 a.m.


10:15 a.m.

Keynote address

Nonlinear difference-in-differences with panel data

Jeffrey M. WooldridgeMichigan State University 10:30 a.m.


11:45 a.m.

Session two

Inference after model selection

David DrukkerSam Houston State University 12:30 p.m.

Cluster–robust inference: A guide to empirical practice

Matthew D. WebbCarleton University Coauthor: James MacKinnonQueen's University Coauthor: Morten NielsenAarhus University 1:15 p.m.


1:45 p.m.

Session three

drdid and csdid: Doubly robust DID with multiple time periods

Fernando Rios-AvilaBard College 2:00 p.m.

Multiple hypothesis testing in Stata

Damian ClarkeUniversidad de Chile 2:45 p.m.

Testing for time-varying Granger causality

Christopher F. BaumBoston College, DIW Berlin & CESIS Coauthor: Jesús OteroUniversidad del Rosario Coauthor: Stan HurnQueensland University of Technology 3:15 p.m.

Closing remarks

3:45 p.m.


We are pleased to announce that all proceeds from registrations for the 2021 Stata Economics Virtual Symposium will be donated to Direct Relief.

The deadline to register is 8 November. Registrations are limited, so register soon. Login information will be emailed on 9 November.

Location: Virtual
Registration fee: $45






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