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HERC Econometrics with Observational Data

Regression Discontinuity Design, Part 1: Basics and Concepts


by Liam Rose, PhD
Seminar date: 3/11/2026

Description: This Cyberseminar introduces Regression Discontinuity Design (RDD) as a quasi-experimental method for estimating causal effects when treatment is assigned based on a cutoff. We will cover the core intuition, key assumptions, sharp vs. fuzzy designs, and practical guidance on when RDD is appropriate.

Intended Audience: Researchers and analysts interested in causal inference methods and RDD who have a basic familiarity with regression analysis.



DOWNLOAD: Request PDF Handout | transcript not yet available


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