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Treatment Effects: The Basics

Overview

This is the website for my spring school course which will take place at Oxford from 10-12 April, 2024. If you’re not excited already, why not watch the theatrical trailer? If you’re interested in attending, you can apply here.

Pre-reading

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

• My Statistics for Economists course.
• My Crash Course on R programming and solutions.
• My introduction to dplyr with solutions and Introduction to ggplot2 with solutions.

Lecture Slides

1. Introduction
2. Selection on Observables, DAGs, and Bad Controls
3. Instrumental Variables and Local Average Treatment Effects
4. Regression Discontinuity
5. Difference-in-Differences

Practical Sessions

1. Bias in the Labor Market
2. Ukranian Elections, DAGs
3. Instrumental Variables
4. Regression Discontinuity
5. Difference-in-Differences

Site menu

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

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