Resources & References
Textbooks
Causal Inference
- Cunningham, S. (2021). Causal Inference: The Mixtape. Yale University Press. Free online
- Huntington-Klein, N. (2022). The Effect: An Introduction to Research Design and Causality. Chapman & Hall. Free online
- Angrist, J. & Pischke, J. (2009). Mostly Harmless Econometrics. Princeton University Press.
- Angrist, J. & Pischke, J. (2015). Mastering 'Metrics: The Path from Cause to Effect. Princeton University Press.
Programming & Data Science
- McKinney, W. (2022). Python for Data Analysis (3rd ed.). O'Reilly. Free online
- Wickham, H. & Grolemund, G. (2023). R for Data Science (2nd ed.). O'Reilly. Free online
Machine Learning
- James, G., et al. (2021). An Introduction to Statistical Learning (2nd ed.). Springer. Free online
- Hastie, T., et al. (2009). The Elements of Statistical Learning. Springer. Free online
Data Sources
| Source | Description | Link |
|---|---|---|
| IPUMS | Harmonized census and survey data | ipums.org |
| World Bank WDI | Development indicators for 200+ countries | data.worldbank.org |
| FRED | Economic time series from the Federal Reserve | fred.stlouisfed.org |
| Gapminder | Health and wealth data | gapminder.org |
| Harvard Dataverse | Research data repository | dataverse.harvard.edu |
| AEA Data Editor | Replication files for economics papers | openicpsr.org |
Key Packages
Python
pandas, numpy, matplotlib, seaborn, statsmodels, linearmodels, rdrobust, scikit-learn, pytorch, transformers
Stata
estout, rdrobust, csdid, did_imputation, psmatch2, reghdfe, ftools, gtools
R
tidyverse, fixest, modelsummary, rdrobust, did, MatchIt, ggdag, renv
Online Courses & Tutorials
- LOST (Library of Statistical Techniques) -- Multi-language code examples
- Nick Huntington-Klein's YouTube -- Causal inference videos
- RStudio Cheatsheets -- Quick reference for R packages
- Stata Manuals -- Official documentation
Acknowledgments
Special thanks to Scott Cunningham, Nick Huntington-Klein, Grant McDermott, and all contributors to open-source data science tools.