Regression discontinuity I
Readings
- Chapter 6 in Impact Evaluation in Practice1
- Chapter 4 in Mastering ’Metrics2
- Chapter 6, “Regression discontinuity” in Causal Inference: The Mixtape3
Regression discontinuity
- The example page on regression discontinuity shows how to use R to analyze and estimate causal effects with regression discontinuity
Slides
The slides for today’s lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys.
View all slides in new window Download PDF of all slides
Videos
Videos for each section of the lecture are available at this YouTube playlist.
- Introduction
- Arbitrary cutoffs and causal inference
- Drawing lines and measuring gaps
- Main RDD concerns
You can also watch the playlist (and skip around to different sections) here:
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Paul J. Gertler et al., Impact Evaluation in Practice, 2nd ed. (Inter-American Development Bank; World Bank, 2016), https://openknowledge.worldbank.org/handle/10986/25030. ↩︎
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Joshua D. Angrist and Jörn-Steffen Pischke, Mastering ’Metrics: The Path from Cause to Effect (Princeton, NJ: Princeton University Press, 2015). ↩︎
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Scott Cunningham, Causal Inference: The Mixtape (New Haven, CT: Yale University Press, 2021), https://mixtape.scunning.com/. ↩︎