📊 07 - Regression Discontinuity Designs

Today’s session

• Leverage visualizations with ggplot2 to explore our discontinuity setups
• Learn how to model our discontinuity setups under different functional forms with lm()
• Learn how to model our discontinuity setups under different functional forms with rdrobust::rdrobust()

Download slides - PDF

Further references

For R and RMarkdown
      Reminder of the basics: https://tinyurl.com/vkebh2f
      RMarkdown: The definitive guide https://tinyurl.com/y4tyfqmg
      Data wrangling with dplyr: https://tinyurl.com/vyrv596
      dplyr video tutorial: https://www.youtube.com/watch?v=jWjqLW-u3hc

To explore more about rdrobust::rdrobust():

       rdrobust: https://cran.r-project.org/web/packages/rdrobust/rdrobust.pdf

For learning more about DAGs and ggdag:

      An Introduction to DAGs: https://ggdag.netlify.com/articles/intro-to-dags.html
      Introduction to ggdag: https://ggdag.netlify.com/articles/intro-to-ggdag.html
      Bias structures: https://ggdag.netlify.com/articles/bias-structures.html

Helpful cheatsheets

      Data visualization with ggplot: https://rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf
      Data wrangling with dplyr and tidyr: https://tinyurl.com/s6zxfqh
      RMarkdown cheatsheet: https://tinyurl.com/uqoelrx

Meet your instructors

Lisa Oswald & Sebastian Ramirez Ruiz