Data Science & Analytics

Causal Inference Mixtape

This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write parallel trends test", "implement Bacon decomposition", or needs code templates for causal inference methods in Python, R, or Stata. Based on Scott Cunningham''s Causal Inference: The Mixtape.

Publisher / source
brycewang-stanford/Auto-Empirical-Research-Skills (found on GitHub top repositories)
Upstream record
brycewang-stanford/Auto-Empirical-Research-Skills
Version
Version 1
Published
Publication review
Approved for publication · recorded passed scan 2026-11-05
Content fingerprint
da578adf9361c45f56fea62f197423460c4e32ea8eaeea10b81d7ff112943814