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What is Prediction Policy Problems Explained about?

This document discusses the distinction between causal inference problems and prediction problems in empirical policy research. It provides a framework that clarifies: (1) Causal inference focuses on estimating how changing a variable affects an outcome, which is important for "rain dance" policies, but prediction problems require forecasting an outcome without changing variables, as in deciding to take an umbrella. (2) Machine learning can help solve prediction problems by estimating complex relationsh

Author

Pablo Romero

Language

EN