The global economy is facing a deep recession with the ongoing impact of COVID-19. Uncertainty remains around the outlook, alongside long-term forces that shape and influence countries’ response to ...

Methods We conducted a cost-effectiveness analysis in the Yorkshire Lung Screening Trial (YLST) population comparing three ...

This data series is part of the Center for Monetary Research. Market-Based Monetary Uncertainty provides daily indicators measuring the uncertainty about future short-term interest rates based on ...

The International Monetary Fund's new Africa chief, Zeine Zeidane, said that conflict in the Middle East has created difficulties for sub-Saharan Africa but reaffirmed the fund's ‌commitment to aiding ...

Katrina Ávila Munichiello is an experienced editor, writer, fact-checker, and proofreader with more than fourteen years of experience working with print and online publications. Get personalized, ...

This data series is part of the Center for Monetary Research. The U.S. Monetary Policy Event-Study Database (USMPD) collects high-frequency changes of interest rates and asset prices around Federal ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Taylor Tepper covered banking, investing and pretty much everything else in personal finance for more than a decade, with his work appearing in the New York Times, Fortune and MONEY magazine, as well ...

Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...

Modeling the effect of DNA sequence variation on phenotypes such as gene expression faces unique challenges when deciphering inter-individual variation. This study presents a scalable and efficient ...