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performing-causal-analysis

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Estimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.

When to use

• fitting DiD models
• interpreting ITS results
• synthetic control analysis
• regression discontinuity analysis
• treatment-effect estimation
• counterfactual plots
• robustness checks
• interpreting fitted causal results

When not to use

• choosing a study design before analysis
• designing experiments

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