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Treatment Effects: Beyond the Basics

Overview

This is the website for my summer school course which will take place at Oxford in Sepember 2024. For more information about the summer school see the course brochure. If you’re interested in attending, you can apply here.

Pre-reading

This course assumes introductory-level knowledge of causal inference along with basic familiarity with the R programming language. If you need to brush up on either of these pre-requisites, you may find the following resources helpful.

• The slides for my short course course Treatment Effects: The Basics
• My short video lectures on treatment effects basics.
• Chapters 1-2, 4-5, and 7-8 of my lecture notes
• My crash course on R programming and solutions.
• My introduction to dplyr with solutions and introduction to ggplot2 with solutions.

Lectures

Lectures will take place each morning each morning in the Manor Road Building.

• Partial Identification: slides, lecture notes Chapter 3.
  • Manski (2003)
  • Fan & Park (2010)
• Testing the LATE Assumptions: slides, lecture notes Chapters 5-6
  • Huber & Mellace (2015)
  • Kitagawa (2015)
  • Mourifié & Wan (2017)
• Marginal Treatment Effects: slides part 1, slides part 2, lecture notes Chapter 7
  • Heckman, Tobias & Vytlacil (2001)
  • Angrist (2004)
  • Cornelissen et al. (2016)
  • Mogstad & Torgovitsky (2018)
  • Cornelissen et al. (2018)
• Spillovers: slides
  • Hudgens & Halloran (2008)
  • Manski (2013)
  • DiTraglia et al. (2022)

Applied Sessions

Applied sessions will take place each morning in the Manor Road Building.

1. Monday: R Refresher
2. Tuesday: Simulation Basics in R
3. Wednesday Running a Simulation Study
4. Thursday: Testing the LATE Assumptions
5. Friday: Gaussian MTEs

Site menu

• About
• Lecture Notes
• Part 1: The Basics
• Part 2: Beyond the Basics
• Videos

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