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Found 5 papers, 3 papers with code
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
We propose principled prediction intervals to quantify the uncertainty of a large class of synthetic control predictions (or estimators) in settings with staggered treatment adoption, offering precise non-asymptotic coverage probability guarantees.
Regression Discontinuity Designs
Over the last two decades, statistical and econometric methods for RD analysis have expanded and matured, and there is now a large number of methodological results for RD identification, estimation, inference, and validation.
A Practical Introduction to Regression Discontinuity Designs: Foundations
In this Element and its accompanying Element, Matias D. Cattaneo, Nicolas Idrobo, and Rocio Titiunik provide an accessible and practical guide for the analysis and interpretation of Regression Discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence.
Methodology Econometrics Applications Computation
The Regression Discontinuity Design
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
In non-experimental settings, the Regression Discontinuity (RD) design is one of the most credible identification strategies for program evaluation and causal inference.
