See also my Google Scholar profile.
“Treatment Effect Estimators as Weighted Outcomes”, R notebooks: theory in action I, theory in action II, Double ML, grf, R package OutcomeWeights)
“Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments”, with Phillip Heiler (Non-technical slides, R implementation, Replication Notebook 1, Replication Notebook 2)
“How do Post-Earnings Announcements Sentiment Affect Firms’ Dynamics? New Evidence from Causal Machine Learning”, with Franscesco Audrino, Jonathan Chassot, Chen Huang, Michael Lechner and Juan-Pablo Ortega, Journal of Financial Econometrics, 22(3), 575–604, 2024
“Double Machine Learning based Program Evaluation under Unconfoundedness” (Journal, Preprint, R package, Replication Notebook), The Econometrics Journal, 25(3), 602-627, 2022
“Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach”, with Michael Lechner and Anthony Strittmatter (Journal, Preprint), Journal of Human Resources, 57(2), 597-636, 2022
“A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student’s Skills” (Journal, Preprint, R package, Poster), Journal of the Royal Statistical Society: Series A, 184(1), 282-300, 2021
“Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence”, with Michael Lechner and Anthony Strittmatter (Journal, Preprint, R package, Poster), The Econometrics Journal, 24(1), 134-161, 2021
“For Better or Worse? - The Effects of Physical Education on Child Development”, with Michael Lechner and Anne K. Reimers (Journal, Preprint), Labour Economics, 67, 101904, 2020
“Work Hour Mismatch and Job Mobility: Adjustment Channels and Resolution Rates”, with Steffen Otterbach (Journal, Preprint), Economic Inquiry, 57(1), 227-242, 2019
“Predicting Match Outcomes in Football by an Ordered Forest Estimator”, with Daniel Goller, Michael Lechner and Gabriel Okasa, In A modern guide to sports economics (pp. 335-355). Edward Elgar Publishing.