Resources

Here I will post many corners of the Internet which I found useful in one way or another.

Public economics

• Lectures on Behavioral Public Economics by Hunt Allcott and Dmitry Taubinsky

• Graduate Lectures on Macro Public Finance by Abdoulaye Ndiaye

Labor economics

• Lectures on Unemployment by Pascal Michaillat

• Different lectures on Labor Economics by David Autor

Econometrics

Courses

• Causal Inference: The Mixtape by Scott Cunningham

• Program evalutation for Public Service by Andrew Heiss - This is probably one of the most amazing resources for learning about modern problem evalutation with videos, exercises, worked through and illustrated modern R code examples!

• Program evaluation (with videos) by Fiona Burlig

• Foundations of Machine Learning by Max Kasy

Lecture notes

• (Great) lecture notes by Clement de Chaisemartin for PhD students

• Lecture slides by Daniel Millimet

Difference-in-Difference

• A very thorough overview with many of the variants in the recent literature

• Good overview of the recent literature on DD and Two-Way Fixed Effects by Andrew Baker

Causal inference

• Causal Inference course (with videos) by Neal Brady

• Causal Inference using Python

Miscellaneous intuitions

• Causal Inference Animated Plots

• Analysis of clustering by Yukai Yanai

• Sometimes you need to cluster standard errors above the level of treatment - The DeclareDesign Blog

• Intuition for permutation tests

• Quick primer on back-of-the-envelope power calculations

Coding

Git

• Combining RStudio with Git

• Learning about branches and remotes in Git with easy exercises and interactive graphs

R

• GGplot grammar guide

• Simulations for power analysis by Nick Huntington-Klein

PhD resources

• Economics is a disgrace

• John Cochrane on writing papers

• Claudia Sahm on Writing

• Collection of useful resources for all stages of the PhD

• The four-hour rule