See also my Google Scholar profile.
“Heterogeneity Analysis with Heterogeneous Treatments”, with Phillip Heiler
“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)
“On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models”, with Federico Crudu, Giovanni Mellace, and Joeri Smits, forthcoming in Canadian Journal of Economics
“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.