Other approaches, techniques, and applications
Some key resources and references
‘The Mixtape’ (Cunningham)
(kennedyGuideEconometrics2003?)
Tibshirani, Robert. n.d. “Statistical Learning with Sparsity the Lasso and Generalizations.”
OSF guides
Christensen ea “Transparent and Reproducable Social Science Research”
(wooldridgeEconometricAnalysisCross2002?; wooldridgeIntroductoryEconometricsModern2008?)
Gentzkow and Shapiro (2013)
An Introduction to Statistical Learning with Applications in R
R for Data Science Garrett Grolemund Hadley Wickhamr r4ds.org
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Consider:
Paul R. Rosenbaum. Observation and Experiment: An Introduction to Causal Inference . Harvard University Press, 2017
Guido Imbens and Donald Rubin. Causal Inference for Statistics, Social and Biomedical Sciences: An Introduction . Cambridge University Press, 2015
Judea Pearl
Imbens: Potential Outcomes versus DAGs