# The Regression Discontinuity Design

## TL;DR

This chapter provides a comprehensive introduction to the sharp regression discontinuity design, explaining how to identify, estimate, infer, and falsify causal effects in observational studies with a cutoff-based assignment.

## Contribution

It offers a detailed overview of the methodology, including recent advances in identification, estimation, and falsification techniques for regression discontinuity designs.

## Key findings

- Clarifies key assumptions for validity.
- Summarizes estimation and inference methods.
- Discusses falsification strategies.

## Abstract

This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.