Machine learning models can now be used in economic studies without breaking the math

Economists can now use machine learning models to create data for their studies without making their results unreliable. This means they can analyze complex, messy data that was previously too difficult to use in traditional economic models.

For a long time, economists struggled to use powerful machine learning tools because the math didn't quite fit with traditional statistical methods. This paper offers a way to combine them, opening up new kinds of analysis. It means researchers can now use things like text analysis or image recognition to create new economic indicators, which could reveal previously hidden patterns in markets or behavior.