alphaXiv

Explore

State of the Art

Sign In

Labs

Feedback

Browser Extension

We're hiring
PaperBlogResources

Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration

Transform this paper into a blog

Get a clear, intuitive explanation of this paper's key ideas, methodology, and contributions — restructured for better understanding with visual aids and clear explanations.

Quick comprehension
Visual explanations
Structured insights