Using quarterly micro data on capacity utilization among Swedish manufacturing firms, we show that idiosyncratic factors are much more important than aggregate influences in explaining variation in ...

Many US federal agencies model the economic and budgetary effects of research and development (R&D) investments -- both public R&D and private R&D -- as if R&D were the same as any other form of ...

Differentiated product consumption choices made without full information can lead to welfare losses from regret and missed opportunities, but a lack of post-purchase usage data has prevented their ...

We decompose inflation into the component due to macroeconomic shocks and the granular residuals capturing the impact of individual firms and product categories, respectively. In advanced economies, ...

We construct a framework that defines optimal outcomes in criminal courts, and we use this framework to interpret and organize the existing literature on racial disparities in pretrial detention, ...

This article provides a concise narrative overview of the rapidly growing empirical literature on financial literacy and financial education. We first discuss stylized facts on the demographic ...

We examine the forecasting power of international portfolio flows for local equity markets and attempt to attribute it to either better information about fundamentals on the part of international ...

We argue that unmeasured investments in intangible organizational capital associated with the role of information and communications technology (ICT) as a general purpose technology' can explain the ...

History suggests that dismal prophecies regarding the impact of great technological advances rarely come to pass. Yet, as many occupations will indeed vanish with the advent of AI as the new General ...

The US trade war against China in 2018–2019 can either enhance or diminish the US soft power in China, depending on whether it is recognized as legitimate by Chinese citizens. We study how the ...

We explore how socio-economic background shapes academia, collecting the largest dataset of U.S. academics’ backgrounds and research output. Individuals from poorer backgrounds have been severely ...

This paper explores past episodes of technological disruption in the US labor market, with the goal of learning lessons about the likely future impact of artificial intelligence (AI). We measure ...