Causal Inference

Reference for implementing causal inference methods: from identification strategy to estimation to diagnostics and robustness. Covers the major quasi-experimental and observational methods used in applied economics and quantitative social science.

When to Use This Skill

Use when the user is:

• Choosing an identification strategy for a causal question
• Implementing IV/2SLS, DiD, RDD, synthetic control, or matching
• Debugging specification issues (weak instruments, parallel trends violations, bandwidth sensitivity)
• Running robustness checks or falsification tests
• Working with modern DiD methods for staggered treatment timing

Skip when:

• The task is structural estimation (use structural-modeling skill)
• The task is pure prediction/ML (no causal question)
• The user needs simulation design (use numerical-auditor agent)