Applied Microeconometrics
Tools for credible causal inference in the real world
A practical guide to modern microeconometrics: experiments, quasi-experiments, machine learning, and everything in between.
Credible Causal Inference
How to go from data to defensible claims using experiments, diff-in-diff, IV, RD, and more.
Hands-on Code
Replicable code call-outs in R, Stata, and Python. Every method is demonstrated, not just described.
Built for Applying
Written for applied work: Over 30 real papers and datasets, and code examples built for extending.
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