Most of the information on this page is taken from the website of Christoph Kronenberg who I thank for putting together such a useful list of resources.
Data Science
- Analyzing US Census Data by Kyle Walker
- EC 607 course by Grant McDermott
- Data Visualization: A practical introduction by Kieran Healy
- R for Data Science by Garrett Grolemund and Hadley Wickham
- Advanced R by Hadley Wickham
- Geocomputation with R by Robin Lovelace, Jakub Nowosad and Jannes Muenchow
- Spatial Data Science by Edzer Pebesma and Roger Bivand
- R Markdown: The Definitive Guide by Yihui Xie, JJ Allaire, and Garret Grolemund
Econometrics
Free text books on econometric methods with focus on causal inference
- Causal Inference Book by Jamie Robin and Miguel Hernan
- Causal Inference: The Mixtape by Scott Cunningham
- Econometrics by Bruce E. Hansen
- Data science for economists by Grant McDermott
- Library of Statistical Techniques (LOST) by Nick Huntington-Klein
Free video resources on econometric methods with a causal inference focus
- Causality - Inferring Causal Effects from Data by Jason Roy
- Introduction to the Causal Inference Bootcamp by Matt Masten
- Mastering Econometrics by Joshua Angrist
- Nick Huntington-Klein has several playlist covering Micro, Stata, R and Causality
- Ashley Hodgson has several playlist including Micro, Health Econ and Identification Strategies
- Andrew Baker's blog post on Difference in Differences
- Andrew Baker's slides on Difference in Differences
- DiD Resources from Jonathan Roth
Free coding resources
- Beautiful plots in R
- Stata Cheat Sheets
- Replication of “Mostly Harmless Econometrics” in Stata, R, Python and Julia.
- Fixest by Laurent Berge
- Library of Statistical Techniques (LOST)
- Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python
Other useful links
- PhD Guidance: How to Research by Garrett Johnson
- Flowchart to explain clustering and standard error issues in difference-in-differences by Patrick Button
- 10 things to know about many topics relating to causal inference
- DAGitty - a tool to draw DAGs and see testable implications, assumptions, etc.
- EZgif - a simple free online tool to make animated gifs
- Draw.io - a simple free online tool to make conceptual diagrams
Academic citizenship
- How to be a good discussant by Chris Blattmann
- Academic Presenting by Rachel Meager
- Refereeing 1 by Marc F. Bellemare
- Refereeing 2 by Tatyana Deryugina
- How to be Productive in Academia by Tatyana Deryugina
- Amanda Y. Agan has a good collection of writing and presentation advice on her web page
- Jennifer Doleac has an extensive and well-maintained resources section on her web page
- How to read papers like a professor by Michael Nelson
Academic writing
- Introduction Formula by Keith Head
- “Middle Bits” Formula by Marc F. Bellemare
- Conclusion Formula by Marc F. Bellemare
- The Ten Most Important Rules of Writing Your Job Market Paper by Claudia Goldin and Lawrence Katz
- Plain English Campaign
- Reverse Outlining guide by the Writing Center of U. of Wisconsin-Madison
- Paper writing gone Hollywood by Jeffrey J. McDonnell in Science (2017)