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Found 5 papers, 1 papers with code
Doubly Robust Inference in Causal Latent Factor Models
This article introduces a new estimator of average treatment effects under unobserved confounding in modern data-rich environments featuring large numbers of units and outcomes.
Estimating the Value of Evidence-Based Decision Making
Business/policy decisions are often based on evidence from randomized experiments and observational studies.
Sampling-based vs. Design-based Uncertainty in Regression Analysis
We derive standard errors that account for design-based uncertainty instead of, or in addition to, sampling-based uncertainty.
Statistics Theory Econometrics Statistics Theory
The Risk of Machine Learning
To address (ii), we show that data-driven choices of regularization parameters, based on Stein's unbiased risk estimate or on cross-validation, yield estimators with risk uniformly close to the risk attained under the optimal (unfeasible) choice of regularization parameters.
Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies.
