The Center for Applied AI recently hosted our annual Machine Learning in Economics Summer Institute. This year the Institute was held from August 1st to August 5th. Following the Institute, the first ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

The Quantitative Economics (QE) major offers students a rigorous, STEM-designated program of study that emphasizes quantitative skills and mathematical modeling tools in economics. Integrating courses ...