Discover how economists' assumptions shape economic models, affecting predictions about consumer behavior, resource allocation, and market dynamics.

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 ...

It is a sort of weird article because they just say “consumption tax, but designed to be progressive,” which is… pretty hand-wavey I guess? @Locke suggested a land value tax instead. (Georgism is, of ...

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, ...

A Q&A With Bhakti Arondekar, PhD, MBA; Alexander Niyazov, PharmD, MPH; and Jay Weaver, PharmD, MPH Bhakti Arondekar, PhD, MBA: The FDA defines RWE as the clinical evidence regarding the usage and ...

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 ...