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

Critics say economic models not fit for purpose Economists urged to take broader, cross-discipline view COP28 climate talks start in Dubai on Nov. 30 Nov 22 (Reuters) - Ahead of international climate ...

The ongoing revolution in artificial intelligence, especially deep learning, is transforming research across many fields, including economics. Its impact is particularly strong in solving equilibrium ...

Economic Model Predictive Control (EMPC) represents an evolution of traditional control strategies, where the primary objective is to directly optimise an economic cost function rather than merely ...

Plastic is now becoming as much of a problem as it has been a solution. Some say the global plastic waste crisis has reached a critical tipping point, that the oceans are swimming with microplastics, ...

Today’s economists rarely consult Adam Smith’s 1776 The Wealth of Nations, however celebrated it is for revealing the workings of the market. Contemporary practitioners are often more at home with ...

Two long-standing economic models, the Benner Cycle and the 18-Year Real Estate Cycle, both point to 2026 as a potential market peak, directly challenging Bitcoin's (BTC) four-year halving cycle. As ...