A new semiparametric causal mediation framework for linear models with non-Gaussian errors reduces estimation error and improves detection of mediated effects compared to OLS in simulations and real data.
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Semiparametric Causal Mediation Analysis for Linear Models with Non-Gaussian Errors: Applications to Drug Treatment and Social Program Evaluation
A new semiparametric causal mediation framework for linear models with non-Gaussian errors reduces estimation error and improves detection of mediated effects compared to OLS in simulations and real data.