Beyond prediction: Using big data for policy problems.
Machine-learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities. However, there are a number of gaps between making a prediction and making a decision, and underlying assumptions need to be understood in order to optimize data-driven decision-making.
Graduate School of Business, Stanford University, Stanford, CA, USA.
Susan
S
Athey