Using random forests versus Kolmogorov-Arnold networks for nuisance functions in a distributional IV estimator can reverse the estimated effect curve, so model choice is a substantive decision.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
econ.EM 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Model Risk in Machine-Learning Distributional IV Estimation
Using random forests versus Kolmogorov-Arnold networks for nuisance functions in a distributional IV estimator can reverse the estimated effect curve, so model choice is a substantive decision.