The material below is a complement to the lecture slides and should be used as reference. Readings in bold are very highly recommended.
1.1 and 1.2, Introduction to Econometrics with R
Introduction, Mastering Metrics
Angrist and Pischke (2010 JEP), The Credibility Revolution in Empirical Economics
Data transformation, R for Data Science
Schwabish (2014 JEP), An Economist's Guide to Visualizing Data
Chapter 3, Introduction to Econometrics with R
Chapter 7, Introduction to Econometrics with R
Chapter 1, Mastering Metrics
"Potential outcomes causal model", Causal Inference: The Mixtape, Scott Cunningham
"Introduction" and "Counterfactuals and the Potential Outcome Model", Counterfactuals and Causal Inference, Morgan and Winship, 2015
Chapter 4, Introduction to Econometrics with R
Chapter 2, Mastering Metrics
Chapter 6, Introduction to Econometrics with R
Chapter 5, Mastering Metrics
Chapter 4, Mastering Metrics
Andrew Heiss' excellent slides and lecture videos]
Chris Walters (2020), Regression Discontinuity Designs
Literature reviews:
Imbens and Lemieux (2008 JMetrics), "Regression discontinuity designs: A guide to practice"
Lee and Lemieux (2010 JEL), "Regression Discontinuity Designs in Economics"