Empirical L&D decision-threshold study of randomized NSW training evidence with bootstrap and permutation robustness.
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Updated
Sep 26, 2026 - Python
Empirical L&D decision-threshold study of randomized NSW training evidence with bootstrap and permutation robustness.
Econometric replication of the Oregon Health Insurance Experiment's lottery effects on emergency-department use: randomized assignment, Medicaid take-up, ITT, and IV/LATE, with honest scope and errata. Data not included (NBER terms).
Causal uplift mechanics tested on the licensed Criteo benchmark, plus a synthetic multi-action retention policy with cost and capacity constraints.
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