Research
Current projects are grouped by research program.
Current Research
AI, Machine Learning, and Economic Measurement
Representation Risk in Pretrained Image Encoders
Submitted
Studies representation risk: different plausible pretrained image encoders applied to the same images can produce materially different downstream conclusions. The paper compares modern and legacy encoders across economic, medical, biological, and demographic tasks and studies representation selection, combination, robustness, uncertainty, computational cost, and a reproducible software framework.
arXiv · Software · Watch video
Images as Covariates: When do they Improve Prediction from Structured Data?
2026 working paper
Examines when adding images improves out-of-sample prediction beyond structured covariates. It distinguishes image-only prediction, overlap with structured data, and incremental predictive value, using Monte Carlo experiments and applications to Toronto house prices, Thoroughbred workout performance, and Ontario academic salaries.
Econometric Methods and Inference
Which Policy Works, and Where? Estimation and Inference for State-Level Treatment Effects in Difference-in-Differences
Submitted
Distinguishes aggregate from state-level and other sub-aggregate treatment effects, and studies inference for policy comparisons across jurisdictions, cohorts, periods, and policy types.
Improved Inference for CSDID Using the Cluster Jackknife
Working paper
Develops cluster-jackknife inference for the Callaway-Sant’Anna difference-in-differences estimator. Companion software includes fastcsdid for stationary repeated cross sections in Stata, R, and Python.
Good Controls Gone Bad: Difference-in-Differences with Covariates
Working paper
Studies identification with time-varying covariates and introduces the Intersection Difference-in-Differences (DID-INT) estimator.
Jackknife Inference with Two-Way Clustering
Revisions requested at Econometric Reviews
Develops jackknife variance estimators and inference methods for linear models with clustering in two dimensions.
arXiv · Software · Watch video
Difference-in-Differences with Unpoolable Data
Submitted
Develops UN-DID methods for estimating treatment effects when data held in separate silos cannot be pooled.
Applied Microeconomics
Fewer Homes, Similar Neighborhoods: Revisiting the Evidence for Racial Housing Discrimination in ‘Sorting or Steering’
Resubmitted; second round of revisions requested at the Journal of Political Economy
Previously circulated as ‘The Many Misspellings of Albuquerque.’
Gun Licenses, Restricted Firearms, Deaths and Crime: Results from Administrative Data in Canada
Working paper
Uses Canadian administrative data to study legal firearm ownership, deaths, and crime.
Published Research
A Comment on ‘Delivering Remote Learning Using a Low-Tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh’
Accepted at Journal of Political Economy Microeconomics (2026)
Choosing Portfolios of Rival Risky Options: Evidence That Most People Violate the No Safety Schools Theorem
Journal of the Economic Science Association 11(2), 173-197 (2025)
Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models
Forthcoming, Econometric Reviews (2025)
Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust
Stata Journal 23(4), 942-982 (2023)
Testing for the Appropriate Level of Clustering in Linear Regression Models
Journal of Econometrics 235, 2027-2056 (2023)
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference
Journal of Applied Econometrics 38(5), 671-694 (2023)
Finish It and It’s Free: An Evaluation of College Graduation Subsidies
Economics of Education Review 93, 102355 (2023)
Reworking Wild Bootstrap-Based Inference for Clustered Errors
Canadian Journal of Economics 56(3), 839-858 (2023)
Cluster-Robust Inference: A Guide to Empirical Practice
Journal of Econometrics 232, 272-299 (2023)
Clustering Methods for Statistical Inference
Handbook of Labor, Human Resources and Population Economics (2023)
Bootstrap and Asymptotic Inference with Multiway Clustering
Journal of Business & Economic Statistics 39(2), 505-519 (2021)
Impact of a Peer Comparison Intervention on Seasonal Influenza Vaccine Uptake in Community Pharmacy: A National Cluster Randomized Study
Journal of the American Pharmacists Association 61(5), 539-546 (2021)
Randomization Inference for Accounting Researchers
Journal of Financial Reporting 6(2), 129-141 (2021)
Randomization Inference for Difference-in-Differences with Few Treated Clusters
Journal of Econometrics 218(2), 435-450 (2020)
A Simple, Graphical Procedure for Comparing Multiple Treatment Effects
The Econometrics Journal 22(2), 188-205 (2019)
Fast and Wild: Bootstrap Inference in Stata Using boottest
Stata Journal 19(1), 4-60 (2019)
Wild Bootstrap Randomization Inference for Few Treated Clusters
Advances in Econometrics 39, 61-85 (2019)
Immigrant Category of Admission of the Parents and Outcomes of the Children: How Far Does the Apple Fall?
Journal of Population Economics 32(1), 53-112 (2019)
The Wild Bootstrap for Few (Treated) Clusters
The Econometrics Journal 21(2), 114-135 (2018)
Wild Bootstrap Inference for Wildly Different Cluster Sizes
Journal of Applied Econometrics 32(2), 233-254 (2017)
Pitfalls when Estimating Treatment Effects Using Clustered Data
The Political Methodologist 24(2), 20-31 (2017)
Targeting Tax Relief at Youth Employment
Canadian Public Policy 42(4), 415-430 (2016)
Meta Papers
Reproducibility and Robustness of Economics and Political Science Research
Nature 652, 151-156 (2026)