This new feature allows researchers to disentangle treatment effects by estimating direct and indirect effects through mediating variables. Heterogeneous Difference-in-Differences (DID):
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While Stata 17 introduced teffects for treatment effects, adds causal forest under the teffects umbrella. This is a machine learning-based approach to heterogeneous treatment effects. This new feature allows researchers to disentangle treatment
Highlighting or coloring markers based directly on the values of a continuous or categorical variable via the colorvar() option. 4. Advanced Causal Inference & Time Series New in time series - Stata 18 The improvements in Stata 18, including faster performance,