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Program

41st Annual Meeting of the Canadian Econometrics Study Group

Recent Advances in Econometrics: robustness, flexibility and adaptivity

Dates: October 16 – 18, 2026

Venue: Coast Coal Harbour Vancouver Hotel

Host: Simon Fraser University

Friday, October 16, 2026

14:00 – 14:05 Opening Remarks

14:05 – 14:50 Keynote Address I – Chair: Xiaoting Sun (SFU)

Tong Li (Vanderbilt)

14:50 – 16:20 Panel Data Methods & Applications – Chair: TBA

Bin Chen (Rochester): Semiparametric Inference in Panel Data with Interactive and High-dimensional Confounding

Young Ahn (Brown): Disentangling Extensive and Intensive Margin Effects in Panel Data

Kensuke Sakamoto (McGill): Estimation and Inference in a Peer Effects Model under Heteroskedasticity

16:20 – 16:40 Coffee break

16:40 – 18:10 Model Selection, Experimental Design and Policy Evaluation – Chair: TBA

Yan Liu (Kyoto): Model Selection Tests for Incomplete Models

Zhenxiao Chen (Pennsylvania): Policy Learning with Network-Shaping Treatments

Sid Kankanala (Chicago): Compound Decisions and Empirical Bayes via Bayesian Nonparametrics

18:10 – 20:00 Poster Session I & Welcome Reception

Poster presenters listed below.

Saturday, October 17, 2026

7:30 – 8:00 Breakfast

8:00 – 8:45 Keynote Address II – Chair: Bertille Antoine (SFU)

Yoosoon Chang (Indiana Bloomington)

8:45 – 10:15 Causal Inference and Research Design – Chair: TBA

Lonjezo Sithole (Michigan): Multi-margin Selection in Leniency Designs

Evan Munro (Chicago Booth): Robust Signal Maximization in Spillover Experiments

Sunny Karim (Carleton): Good Controls Gone Bad: Difference-in-differences with Covariates

10:15 – 10:35 Coffee break

10:35 – 12:35 Advances in GMM, IV, and Moment-Based Inference – Chair: TBA

Grigory Franguridi (USC): Generalized Method of Moments with Partially Missing Data

Hiroyuki Kasahara (UBC): Representativeness and Efficiency in Overidentified IV

Lixiong Li (Johns Hopkins): Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination

Saraswata Chaudhuri (McGill): Targeted Feasible Generalized Least Squares

12:35 – 14:00 Lunch & Poster Session II

Poster presenters listed below.

14:00 – 16:00 ML and Computational Econometrics – Chair: TBA

Yao Luo (Toronto): PINE: Amortized Neural Estimation for Random-Coefficients Demand Models

Benoit Perron (U. de Montreal): Bootstrapping with AI/ML-generated Labels

Yuya Shimizu (UW-Madison): Econometrics with Pre-Trained Embeddings for Unstructured Data

Matt Webb (Carleton): Which Policy Works, and Where? Estimation and Inference for State-Level Treatment Effects in Difference-in-Differences

16:00 – 16:20 Coffee break

16:20 – 18:20 Journal of Econometrics Session – Chair: TBA

Yiru Wang (Pittsburgh): Heterogeneous Local Projections

Ilya Archakov (York): A Robust Similarity Estimator

Natasha Kang (Xiamen): A Framework for Common Long Cycles

Michele Piffer (Bank of England and King’s College): Theory Based Priors for the Output Gap

18:30 – 20:30 Conference Dinner

Sunday, October 18, 2026

7:30 – 8:00 Breakfast

8:00 – 8:45 Keynote Address III – Chair: Dongwoo Kim (SFU)

Pedro Sant’Anna (Emory)

8:45 – 10:15 Robustness, Specification and Testing – Chair: TBA

Deborah Kim (Warwick): Testing Sign Agreement

Frank Kleibergen (Amsterdam): Testing for Identification in Potentially Misspecified Linear GMM

Ertian Chen (UCL): Robust Structural Estimation under Misspecified Latent-State Dynamics

10:15 – 10:35 Coffee break

10:35 – 12:35 Semiparametric and Nonparametric Methods – Chair: TBA

Leonard Goff (Calgary): Identification of Causal Effects with a Bunching Design

Max Tabord-Meehan (Toronto): Inference for Linear Systems with Unknown Coefficients

Jun Ma (Renmin): Tuning Free Semi-parametric Estimation for First Price Auctions with Endogenous Entry

Jean-Marie Dufour (McGill): Approximation Bounds for Conditional Expectations and Nonparametric Regressions: Theory and Inference

12:35 – 14:00 Lunch & Adjourn

Poster Session I (Friday, October 16):

  1. Sami Abdurahman (TMU): Kolmogorov-Arnold Sieve Networks for High-Dimensional Estimation and Inference
  2. Victor Aguiar (SFU): GARP-EFM: Improving Foundation Models with Revealed Preference Structure
  3. Yanping Chen (Indiana Bloomington): Robust Variance Estimation in Linear Regression: A Projection-Geometry Perspective
  4. Xiao Gao (UC Riverside): Local Quantile Regression Forest
  5. Kohei Izumi (Rochester): Nonparametric Threshold Regression via Local Classification
  6. Jakob Juergens (UW-Madison): Orthogonal Inference for Conditional Z-Estimation without Cross-Fitting: A Distributional Nearest-Neighbor Approach
  7. Mahdi Ebraihimi Kahou (Bowdoin): The Blessings of Overparameterization: Applications in Solving Economic Models
  8. James MacKinnon (Queen’s): Improved Inference for CSDID Using the Cluster Jackknife
  9. Anicet Nzeukoc (U de Montreal): Instrumental Variable Estimation of Risk-Neutral Density using Functional Linear Models
  10. Adrian Schroeder (Toronto): Markov Kernel Methods: Multiple Equilibria, Uncertainty Regimes, and Learning
  11. Elisavet Serenidou (Guelph): Spatial Regression Discontinuity Designs under Spillovers: Estimation and Inference
  12. Rosnel Sessinou (Surrey): Encompassing and Progression Testing in High-Dimensions
  13. Pascale Valery (HEC Montreal): Mimicking for Value: Rivals’ Strategic Innovation Responses to Technological Acquisitions
  14. Yuanyuan Wan (Toronto): Identifying Strategic Misreporting and Correcting Biased Estimates
  15. Zhiheng You (Pennsylvania): Model Restrictiveness in Functional and Structural Settings
  16. Jun Zhao (York): Structural Analysis of Posted-Price Selling in Online Markets: A Nonparametric Approach

Poster Session II (Saturday, October 17):

  1. Roy Allen (Western): Latent Utility and Latent Choices
  2. Alexandru Badescu (Calgary): On the Relation between Discrete and Continuous-Time Affine Option Pricing Models
  3. Chun Pang Chow (UBC): Markups, Markdowns, and Productivity: Identification and Estimation of Production Function and Labor Supply Curve
  4. Sebastian Fossati (Alberta): Unfolding Regional Business Cycles: Factor Models for Three-Way State-Level Tensors
  5. Bela Georgiev (TMU): Comparing Treatment Effects in Staggered Difference-in-Differences Designs
  6. William Hope (Wilfrid Laurier): Evaluating Copper Price Forecasts: A Meta-Study
  7. Nail Kashaev (Western): Discrete Choice with Endogenous Peer Selection
  8. Doosoo Kim (TMU): Model-Based Interpretation of Pretrend Tests in Difference-in-Differences
  9. Alex Maynard (Guelph): Modelling the Implications of Geographical Controls and Instruments in Fingerprinting Regressions
  10. Simon Rudkin (Manchester): A Neighborhood-Based Local Decomposition of Group Differences
  11. Rostand Tchouakam Mbouendeu (U de Montreal): Solving Consumption-Investment Models with Theory-Informed Neural Networks (TINNs): Theory and Implementation
  12. Atom Vayalinkal (Toronto): Many Treatments, Some Instruments: Sharp Identification and Specification Testing in Treatment Selection Models
  13. Qiyang Yu (Rochester): Spillovers under Common Shocks in Panel Data: Estimation and Inference
  14. Elaheh Zarabi (York): Count Variables with Locally Explosive Patterns
  15. Zhengluo Zhang (Toronto): Sequential Nested Logit under Cut Bayesian Inference

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