Other approaches, techniques, and applications

Some key resources and references


‘The Mixtape’ (Cunningham)


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


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