Free interactive tool uses particle physics-inspired Burkeanomics to predict prosperity impacts from policies in the ...

AI's economic impact is hard to forecast now, but seven specific trends—from entry-level hiring to inflation—signal what ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

An insider's look at Florida’s war on invaders: the giant snakes, egg-eating predators and parasites spreading through the ...

After Lehman Brothers, an investment bank, collapsed in 2008 and sparked the global financial crisis, economists turned the study of bank runs and credit crunches from a niche pursuit into a ...

A clean, modular Python scraper for the Investing.com Economic Calendar. Collects macro events (CPI, NFP, PCE, GDP, PMI, Fed decisions, etc.), normalizes values, and ...

This paper examines the profound challenges that transformative advances in AI towards Artificial General Intelligence (AGI) will pose for economists and economic policymakers. I examine how the Age ...

The power of Python trumps Excel workbooks.

National governments and multilateral institutions face the difficult challenge of reconciling economic development and environmental goals. Often one appears to come at the expense of the other. But ...

GDP does not need to be redefined for the AI age. The harder measurement problem is how price indexes account for rapidly ...

This paper helps provide information on where to locate crops and natural areas, such as forests, to achieve climate, biodiversity, and economic development goals. This photo shows a boundary where ...