1/9 We are excited to share our new working paper: arxiv.org/abs/2502.12323 If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social
Adversarial Debiasing for Unbiased Parameter Recovery
Advances in machine learning and the increasing availability of high-dimensional data have led to the proliferation of social science research that uses the predictions of machine learning models as p...
arxiv.org