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Causal Inference

Methods

Overview Diff-in-differencesDiD Event studyES Instrumental variablesIV Regression discontinuityRDD Matching & IPWMatch Synthetic controlSC

Methods

Overview Double MLDML Causal forestCF AIPW / DR learnerDR Heterogeneous effectsHTE TMLETMLE

Quick reference

Estimator decision tree Notation & conventions Assumptions cheatsheet Key packages

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Causal Inference · Causal ML

Cause& effect.

A code-first guide to causal inference in practice

End-to-end causal inference and causal ML workflows for health policy and applied economics researchers.

Open source · R · Python

CAUSAL INFERENCEOverview Diff-in-differences Event study Instrumental variables Regression discontinuity Matching & IPW Synthetic control

CAUSAL MLOverview Double ML Causal forest AIPW / DR learner Heterogeneous effects TMLE

REFERENCESEstimator decision tree Notation & conventions Assumptions cheatsheet Key packages

TOOLSDAG Studio ↗

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