A new research paper describes a statistical framework that resolves significant calculation biases caused by artificial intelligence in econometric models. The method, two-step extraction, removes estimation bias when researchers measure the business or economic effects of variables extracted using machine learning algorithms from unstructured data such as photos and consumer text.
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