Past Econometrics Workshops

April 7
Zheng Fang, Emory University
Topic: "Debiased Machine Learning: Identification, Estimation, and Shape Constraints"

April 14
Hugo Freeman, Michigan State University
Topic: "Inference on Linear Regressions with Two-Way Unobserved Heterogeneity"

April 21
Alejandro Sánchez-Becerra, Emory University
Topic and paper: "Robust inference for the treatment effect variance in experiments using machine learning"

April 28
Haoge Chang, Columbia University
Topics and papers: "Randomization-Based Confidence Intervals For the Local Average Treatment Effect" (with P. M. Aronow and Patrick Lopatto) & "Randomization Inference For the Always-Reporter Average Treatment Effect" (with Zeyang Yu)

May 5
Canceled

May 12
Adam McCloskey, University of Colorado
Topic and Paper: "Numerical Analysis of Test Optimality"

May 19
Filip Obradović, UCLA
Topic and paper: "Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data"

October 1
Debopam Bhattacharya, Cambridge
Topic and Paper: Discrete Choice with Congestion

October 15
Yong Cai, University of Wisconsin-Madison 
Topic and Paper: Regression Discontinuity Design with Spillovers 

October 29
Xinyue Bei, UT Austin
Topic and Paper: Inference on Union Bounds

November 12
Eric Auerbach, Northwestern
Topic: Uniform confidence bands for network structure

November 19
Suhas Vijaykumar, UC San Diego
Topic and Paper: Kernel Ridge Regression Inference with Applications to Preference Data

March 26
Pedro Vergara Merino, Ph.D. Candidate CREST - ENSAE- IP Paris
Topic and paper: “Revisiting Randomization with the Cube Method”

April 2
Vincent Boucher, Université Laval 
Topic and paper: "Estimating Peer Effects Using Partial Network Data"

April 9
Yassine Sbai Sassi, NYU

April 16
Lixiong Li, Johns Hopkins University 
Topic and paper: "Robust Counterfactuals in Centralized Schools Choice Systems"

April 23
Michael Pollman, Duke
Topic and paper: "Causal Inference From Hypothetical Evaluations"

April 30
Jean Marc Robin, Sciences Po
Topic: "Ridge Estimation of High Dimensional Two-Way Fixed Effect Regression"

May 7
Liyang Sun, UCL
Topic and paper: "Policy Learning with Confidence"
 

May 14
Keisuke Hirano, Penn State
Topic and paper: "Selecting Experimental Sites for External Validity"

May 21
Tim Christensen, Yale 
Topic and paper: "Inference for regression with variables generated by AI or machine learning"

May 28
Jose Luis Montiel Olea, Cornell
Topic and paper: "ϵ-Minimax Solutions of Statistical Decision Problems via the Hedge Algorithm"

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

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

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

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

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

November 6
Frank Schorfheide, University of Pennsylvania
Topic: "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
Topic: "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
Topic and paper: Sharp Testable Implications of Encouragement Designs (joint with Max Tabord-Meehan)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

November 1
Max Cytrynbaum, Yale University 
Topic and paper: “Optimal Stratification of Survey Experiments” 

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

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

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