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econ.EM2026
Bootstrapping with AI/ML-generated labels
Timothy Christensen, Silvia Goncalves, Benoit Perron
AI/ML methods are increasingly used in economics to generate binary variables (or labels) via classification algorithms. When these generated variables are included as covariates i…
econ.EM2022
Bootstrap inference in the presence of bias
Giuseppe Cavaliere, Sílvia Gonçalves, Morten Ørregaard Nielsen +1
We consider bootstrap inference for estimators which are (asymptotically) biased. We show that, even when the bias term cannot be consistently estimated, valid inference can be obt…