2 citations · 2 across the 3 of their papers we have counts for
3 papers
econ.EM2022
Sample Fit Reliability
Gabriel Okasa, Kenneth A. Younge
Researchers frequently test and improve model fit by holding a sample constant and varying the model. We propose methods to test and improve sample fit by holding a model constant…
econ.EM2022★ 2 cited
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance
Gabriel Okasa
Estimation of causal effects using machine learning methods has become an active research field in econometrics. In this paper, we study the finite sample performance of meta-learn…
econ.GN2021
The Effect of Sport in Online Dating: Evidence from Causal Machine Learning
Daniel Boller, Michael Lechner, Gabriel Okasa
Online dating emerged as a key platform for human mating. Previous research focused on socio-demographic characteristics to explain human mating in online dating environments, negl…