Shiny App illustrating the Key Ingredients of the Double Machine Learning Approach

About

The app illustrates the importance of the three key ingredients of the Double Machine Learning (DML) approach by Chernozhukov et al. (2018). The simulation setting is based on Chernozhukov et al. (2018) and the Basics Chapter of the DoubleML User Guide.

Run the App Locally

1. Open R/RStudio,
2. Install shiny in case you don't have it via

install.packages("shiny")

3. Type

shiny::runGitHub("BasicsDML", "DoubleML")

Feedback

Please let us know about bugs or potential improvements by contacting @PhilippBach.

References

Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W. and Robins, J. (2018), Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal, 21: C1-C68. doi:10.1111/ectj.12097.