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20192025
most citedMeta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance

2 citations · 2 across the 5 of their papers we have counts for

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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…