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1. Machine-learning-in-policy-evaluation-new-tools-for-causal-inference Machine-learning-in-policy-evaluation-new-tools-for-causal-inference Public

   This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new tools for causal inference"

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2. IntroCML_workshop IntroCML_workshop Public

   The R code used in the Causal Machine learning workshop given at the EuroCIM 2021

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3. SMCMIC SMCMIC Public

   Code to implement local average treatment effect via Principal Stratification mixture models with multiple imputation estimation

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4. causal-inference-in-practice-course causal-inference-in-practice-course Public

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5. DML-IVg-estimation DML-IVg-estimation Public

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6. CACE_CEA CACE_CEA Public

   Stata and R scripts presenting code for performing Complier-average causal effects estimation of multivariate outcomes. (Three-stage least squares and Bayesian models)

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