Economic models provide formal representations of the interactions among agents, resources and institutions. At the macro level, models range from structural equation systems and dynamic stochastic ...

Will the world still need economists in 2030? With skin in the game, we certainly hope so — but artificial intelligence is already transforming economic analysis. In our own work — and in a review of ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

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 ...

Integrated forecasting and supply chain planning platforms can close the gap between forecasting and execution by connecting ...

Participants are expected to have an advanced degree in economics or equivalent experience and background in econometrics. They should also be comfortable using EViews for econometric applications.

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...