Publications

Causal Trees and Bootstrap process: an application

Published in , 2021

In this work it was used bootstraping tools and causal trees, both for the analysis you have to use the Pennsylvania re-employment bonus experiment. We subset the data so we can compared treatment group 4 and the control group.

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Double LASSO using Cross Validation and Partialling Out

Published in , 2021

In this work was done the following topics: Orthogonal Learning, Double Lasso to test the Convergence Hypothesis, explanation of Double Lasso Approach, Double LASSO using cross Validation ,Double Lasso using theoretical Lambda and Double Lasso using method=”partialling out”.

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Lasso partialling-out using employment data

Published in , 2021

In addition to the development of two cases of partialling-out using lasso, it is also explained the idea of sample splitting to evaluate the performance of prediction rules to a fellow student and show how to use it on the wage data.

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