Regression discontinuity I

Content for Monday, October 24, 2022

Readings

• Chapter 6 in Impact Evaluation in Practice (Gertler et al. 2016)
• Chapter 20 in The Effect (Huntington-Klein 2021)

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

Introduction

Arbitrary cutoffs and causal inference

Drawing lines and measuring gaps

Main RDD concerns

Tip

Fun fact: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands.

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:

In-class stuff

Here are all the materials we’ll use in class:

• Week 10 FAQ slides (PDF)
• Week 10 R code (on RStudio.cloud)

References

Gertler, Paul J., Sebastian Martinez, Patrick Premand, Laura B. Rawlings, and Christel M. J. Vermeersch. 2016. Impact Evaluation in Practice. 2nd ed. Inter-American Development Bank; World Bank. https://openknowledge.worldbank.org/handle/10986/25030.

Huntington-Klein, Nick. 2021. The Effect: An Introduction to Research Design and Causality. Boca Raton, Florida: Chapman and Hall / CRC. https://theeffectbook.net/.