Past Econometrics Workshops

The Econometrics Workshops meet in-person during the Fall and Spring quarters on Wednesdays from 4:00 pm - 5:00 pm in SHFE 112. For questions, please contact Amymarie Anderson.

Fall 2024

October 2
Francesca Molinari, Cornell University
"Inference for an Algorithmic Fairness-Accuracy Frontier" (with Yiqi Liu, Cornell University)

October 9
Chuck Manski, Northwestern University
"Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory"

October 16
Ben Deaner, University College London
The Trade-Off Between Flexibility and Robustness in Instrumental Variables Analysis

October 23
Sid Kankanala, UChicago Booth School of Business
"Quasi-Bayes in Latent Variable Models"

October 30
Ivana Komunjer, Georgetown University
"Asymptotic Analysis of Stochastic Choice Models with Incomplete Information"

November 6
Frank Schorfheide, University of Pennsylvania
"Optimal Estimation of Two-Way Effects under Limited Mobility," joint with Xu Cheng (UPenn) and Sheng Chao Ho (Singapore Management University)

November 13
Vasilis Syrgkanis, University of Pennsylvania
"Source Condition Double Robust Inference on Functionals of Inverse Problems" (joint with Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara)

November 20
Yuehao Bai, University of Southern California
Sharp Testable Implications of Encouragement Designs (joint with Max Tabord-Meehan)

December 4
Ashesh Rambachan, MIT
"From Predictive Algorithms to the Automatic Generation of Anomalies"

Spring 2024

March 27
Guillaume Pouliot, University of Chicago
"An Exact t-Test"

April 3
Rahul Singh, Harvard University
"Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy"

April 10
Andrew Chesher, University of College London
"Robust Analysis of Short Panels"

April 17
No Meeting

April 24
Abhishek Annanth, Emory University
"Optimal treatment assignment rules on networked populations"

May 1
Hiroaki Kaido, Boston University 
"Universal Inference for Incomplete Discrete Choice Models"

May 8
Alfred Galichon, NYU
"Repeated Matching Games: An Empirical Framework" (with Pauline Corblet and Jeremy Fox)

May 15
Soonwoo Kwon, Brown University
"Testing Mechanisms" (joint with Jon Roth)

May 22
Bulat Gafarov, UC Davis
"Simple Subvector Inference on Sharp Identified Set in Affine Models"

Fall 2023

September 27
Desire Kedagni, University of North Carolina at Chapel Hill
“Robust identification in difference-in-differences Models”

October 4
Chen Qiu, Cornell University
"Treatment Choice with Nonlinear Regret" (Joint with Toru Kitagawa and Simon Lee)

October 11
Bruce Hansen, University of Wisconsin-Madison
"Jackknife standard errors for clustered regression"

October 18
Michael Leung, UC Santa Cruz 
“Unconfoundedness with Network Interference”

October 25
Rosa Matzkin, UCLA
"On the Identification of Economic Models"

November 1
Max Cytrynbaum, Yale University 
Optimal Stratification of Survey Experiments” 

November 8
Lihua Lei, Stanford University
"Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects"

November 15
Thomas Russell, Carleton University
"A Dual Approach to Wasserstein-Robust Counterfactuals" (w/ Jiaying Gu)

November 29
Eric Mbakop, University of Calgary, Ohio State University
"Identification in Some Discrete Choice Models: A Computational Approach"