rdd-analysis

What problem does it solve?

This RDD skill helps researchers estimate local average treatment effects at known cutoffs by applying regression discontinuity designs, addressing causal inference challenges near thresholds.

Core Features & Use Cases

• Sharp and fuzzy RDD identification with bandwidth selection and local polynomial estimation.
• Validation and reporting best practices, including density tests, covariate balance checks, and placebo cutoffs.
• Use Case: A policy analyst evaluates the impact of a new credential program where eligibility changes at a score threshold, focusing on the discontinuity at the cutoff.

Quick Start

Apply the RDD analysis to your dataset by specifying the running variable, the cutoff, and the outcome, then perform a local linear estimate with a triangular kernel.