most citedAssessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy

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

collaborators

2 papers

stat.AP2025

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes

Falco J. Bargagli-Stoffi, Emma Landry, Kevin P. Josey +3

Educational policymakers often lack data on student outcomes where standardized tests were not administered. Machine learning can predict unobserved outcomes in target populations…

econ.EM2021★ 2 cited

Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy

Falco J. Bargagli Stoffi, Kenneth De Beckker, Joana E. Maldonado +1

Despite their popularity, machine learning predictions are sensitive to potential unobserved predictors. This paper proposes a general algorithm that assesses how the omission of a…