7 citations · 8 across the 2 of their papers we have counts for
2 papers
econ.EM2024★ 1 cited
Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
Jonathan Fuhr, Dominik Papies
Estimating causal effect using machine learning (ML) algorithms can help to relax functional form assumptions if used within appropriate frameworks. However, most of these framewor…
stat.ML2024★ 7 cited
Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
Jonathan Fuhr, Philipp Berens, Dominik Papies
The estimation of causal effects with observational data continues to be a very active research area. In recent years, researchers have developed new frameworks which use machine l…