Causality and Difference in Differences

Required Readings & Lecture Notes

Parts of these readings and themes from them will be covered in the video lecture.

• Conducting Research with Quasi-Experiments: A Guide for Marketers
  • In Section 3, only read 3.1

We'll need some concepts from Linear Regression to work understand lecture content. If you want to refresh your understanding, check these out:

• Review of Basic Concepts: Chapters 3, 4, 5, 6 of these notes
• Omitted Variables Bias (Chapter 7.5) and Panel Data (Chapter 12) of these notes
• Getting Standard Errors Right
• Linear Regression with R

Video Lecture

Videos

• Slides: Weekly Overview
• Slides: Causality and Difference in Differences

Computing Lecture

None this week

Lab Section

We'll cover the following:

• Getting to know each other
• Getting course material from GitHub

• Visualizing Twitter Data

• Code from class

• Intro to rtweet

Lab Assignment

Topic: Visualizing Social Media Networks

These notes provide the background reading to work through the Lab Assignment.

• A First Introduction to Networks with R
  • Dataset

Questions to work through:

• Link to GitHub repo
• Suggested Solutions