partial-identification

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

R package for regression sensitivity analysis to omitted variable bias: identified sets and breakdown points following Diegert, Masten & Poirier (2026) and Oster (2019).

Sharp performance bounds for early-warning evaluation with interval-uncertain event onset.

Replication files for Jun and Lee (2022)

Reproducible code and derived data for testing how present-day stellar constraints identify cumulative EUV and wind histories in TOI-700 and LHS 1140.

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.

What competitive H/T and D/T kinetics identifies about enzymatic hydrogen transfer: data, code and verification suite

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.

Claim-relative identified sets across benchmark evaluation specifications

Unrefereed candidate on sharp partial identification of diversification histories, with executable replay and scoped assurance

Replication: Lee and Weidner (forthcoming, Journal of Econometrics)

Privacy suppression makes the Anthropic Economic Index automation–augmentation measure partially identified. Only 42 of 775 occupations are usably identified.

Beyond Return Ratios: identification, partial identification, timing effects, mechanism evidence, simulations, and reproducibility for leveraged ETFs (LETFs) in quantitative finance.

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).