The regression discontinuity (RD) design has been one of the main tools in empirical research. In this lecture, I will introduce the basic concept of RD design and its application. In addition, I will provide a practical guide for the implementation of an RD design.
List of Empirical Applications
- Angrist and Pischke (2009), Mostly Harmless Econometrics, Ch6
- Angrist and Pischke (2014), Mastering Metrics: The Path from Cause to Effect, Ch4
- David S. Lee and Thomas Lemieux (2010), “Regression Discontinuity Designs in Economics“, Journal of Economic Literature
- Matias D. Cattaneo, Nicolas Idrobo and Rocio Titiunik (2019), “A Practical Introduction to Regression Discontinuity Designs: Foundations“, Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press.
- Cattaneo, Titiunik and Vazquez-Bare (2020): “The Regression Discontinuity Design." Handbook of Research Methods in Political Science and International Relations, Sage Publications.
- David S. Lee and Thomas Lemieux (2014), “Regression Discontinuity Designs in Social Sciences“, The SAGE Handbook of Regression Analysis and Causal Inference
- Mark Hoekstra (2009), “The Effect of Attending the Flagship State University on Earnings: A Discontinuity-Based Approach“, Review of Economics and Statistics
- Christopher Carpenter and Carlos Dobkin (2009), “The Effect of Alcohol Consumption on Mortality: Regression Discontinuity Evidence from the Minimum Drinking Age" , AEJ:Applied Economics
- David S. Lee, Enrico Moretti, and Matthew J. Butler (2004), “Do Voters Affect or Elect Policies Evidence from the U.S. House.S. House“, QJE
- Olivier Marie (2009), “The Best Ones Come Out First! Early Release from Prison and Recidivism: A Regression Discontinuity Approach“, Working Paper