Based on evidence gathered from a newly built large macroeconomic data set for the UK, labeled UK-MD and comparable to similar datasets for the US and Canada, it seems the most promising avenue for forecasting during the pandemic is to allow for general forms of nonlinearity by using machine...

"This comprehensive historical account tells the story of 200 years of financial panics in America, from 1819 up to the current economic downturn of 2020, showing how and why so many financial crises have occurred in the United States and offering solutions to avoiding these sorts of crises...

The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development. These are that (1) in a global crisis, the shifting value of data creates policy pitfalls; (2) predictions of crises and how they play...