Bounding Treatment Effects by Pooling Limited Information across Observations
Causal Inference in Case-Control Studies
[Experimental] Federated Partial Identification for Causal Inference with OMOP CDM
A unified Python framework for causal effect bounding algorithms
Estimating the Effect of Persuasion in Stata
Reproducible code and derived data for testing how present-day stellar constraints identify cumulative EUV and wind histories in TOI-700 and LHS 1140.
Unrefereed candidate on sharp partial identification of diversification histories, with executable replay and scoped assurance
Replication: Lee and Weidner (forthcoming, Journal of Econometrics)
Replication files for Jun and Lee (2022)
Cross-asset price impact is set-identified, not point-identified: the confounding gap has rank at most K + rank(B). A diagonal truth still yields a dense cross-impact matrix, and the trades immune to the resulting cost error form a large but measure-zero subspace. Preregistered and reproducible.
Beyond Return Ratios: identification, partial identification, timing effects, mechanism evidence, simulations, and reproducibility for leveraged ETFs (LETFs) in quantitative finance.
Estimating the Effect of Persuasion in Stata
A new kind of world model: the PSD coupling kernel K(T,T') of admissible possible worlds. Diagonal = prediction, off-diagonal = counterfactual coupling. Built in public.
Python package for testing whether treatment effects operate through specific mechanisms, implementing finite-support sharp-null tests, minimum-defier bounds, and partial density diagnostics from Kwon and Roth (2026, Review of Economic Studies).
What competitive H/T and D/T kinetics identifies about enzymatic hydrogen transfer: data, code and verification suite
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