1 citations · 1 across the 2 of their papers we have counts for
2 papers
econ.EM2026
Automatic debiased machine learning and sensitivity analysis for sample selection models
Jakob Bjelac, Victor Chernozhukov, Phil-Adrian Klotz +2
In this paper, we extend the Riesz representation framework to causal inference under sample selection, where both treatment assignment and outcome observability are non-random. Fo…
econ.GN2025★ 1 cited
The Effects of Flipped Classrooms in Higher Education: A Causal Machine Learning Analysis
Daniel Czarnowske, Florian Heiss, Theresa M. A. Schmitz +1
This study uses double/debiased machine learning (DML) to evaluate the impact of transitioning from lecture-based blended teaching to a flipped classroom concept. Our findings indi…