Causal inference #

Warning: This post hasn't been updated for over a year. The information may be out of date.

What? → Causal inference - Wikipedia

Why? → Spurious Correlations

How? ↓

(Maybe) Useful resources #

• Applied Causal Analysis (with R)
• Causal Inference: What If (the book) | Miguel Hernan’s Faculty Website | Harvard T.H. Chan School of Public Health
  • Causal Inference: What If. R and Stata code for Exercises
  • jrfiedler/causal_inference_python_code: Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
• Causal Inference: The Mixtape
  • scunning1975/mixtape: Data and Program files for Causal Inference: The Mixtape
• The Effect: An Introduction to Research Design and Causality | The Effect
  • NickCH-K/causalbook: Replication code and downloadable example data sets for The Effect

Common assumptions #

• SUTVA (stable unit treatment values assumption)
• (As in: difference-in-differences)
  • Parallel trends, or common trends
    • VWCT (variance-weighted common trend)
  • Time invariant treatment effects (otherwise requires triple differences)