New Statistical Method Eliminates AI Estimation Bias in Econometrics

A recent research paper introduces a statistical framework called two-step extraction that addresses significant estimation biases caused by AI in econometric models. This method improves the accuracy of measuring economic effects from variables derived via machine learning applied to unstructured data like photos and consumer text.

Originally published by gnews