1 citations · 1 across the 2 of their papers we have counts for
4 papers
Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization
Achim Ahrens, Alessandra Stampi-Bombelli, Selina Kurer +1
Research underscores the role of naturalization in enhancing immigrants' socio-economic integration, yet application rates remain low. We estimate a policy rule for a letter-based…
ddml: Double/debiased machine learning in Stata
Achim Ahrens, Christian B. Hansen, Mark E. Schaffer +1
We introduce the package ddml for Double/Debiased Machine Learning (DDML) in Stata. Estimators of causal parameters for five different econometric models are supported, allowing fo…
pystacked: Stacking generalization and machine learning in Stata
Achim Ahrens, Christian B. Hansen, Mark E. Schaffer
pystacked implements stacked generalization (Wolpert, 1992) for regression and binary classification via Python's scikit-learn. Stacking combines multiple supervised machine learne…
lassopack: Model selection and prediction with regularized regression in Stata
Achim Ahrens, Christian B. Hansen, Mark E. Schaffer
This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive l…