Gabriel Okasa

Data Scientist at the Swiss National Science Foundation

Research

Publications

“Predicting Match Outcomes in Football by an Ordered Forest Estimator”, 2021, A Modern Guide to Sports Economics, Edward Elgar Publishing, jointly with Daniel Goller, Michael Knaus and Michael Lechner

Working Papers

“Sample Fit Reliability”, 2022, arXiv preprint arXiv:2209.06631., jointly with Kenneth A. Younge

“Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance”, 2022, arXiv preprint arXiv:2201.12692, single-authored (Slides, Video)

“The Effect of Sport in Online Dating: Evidence from Causal Machine Learning”, 2021, arXiv preprint arXiv:2104.04601, jointly with Daniel Boller and Michael Lechner

“Random Forest Estimation of the Ordered Choice Model”, 2019, arXiv preprint arXiv:1907.02436, jointly with Michael Lechner (Slides)