Resources
Here are a few additional resources that you may find helpful throughout the semester. I’ll add to these as we go.
- Some resources for honing your data analysis skills in
R:- R for Data Science by Hadley Wickham and Garrett Grolemund. This is the go-to resource for starting to work with
R. Highly recommended, free, and informative. - R Language Basics by Grant McDermott
- Data cleaning and wrangling in R by Grant McDermott
- R for Data Science by Hadley Wickham and Garrett Grolemund. This is the go-to resource for starting to work with
- Some free econometric resources
- Causal Inference Book by Jamie Robin and Miguel Hernan
- Econometrics by Bruce Hansen
- Introductory Econometrics class notes from Nick Huntington-Klein
- Econometrics Notes from Carolina Caetano at UGA
- Ever wish you had a central resource for lots of little commands and how to do things in different stats packages? Nick Huntington-Klein thought the same thing in his Library of Statistical Techniques (LOST).