Honest inference in Regression Discontinuity Designs
Introduction | Sharp RD | Model | Plots | Inference based on local polynomial estimates | Bias-aware confidence intervals | Automatic bandwidth choice | Choice of curvature parameter | Inference when running variable is discrete | Fuzzy RD | Choice of curvature parameters | Extensions | Covariates | Aggregated data and weighted regression | Clustering | Specification testing | Optimal weights under Taylor smoothness class | Inference at a point | Diagnostics: leverage and effective observations | References