This paper examines technology sophistication in establishments. To comprehensively measure technology sophistication, we create a grid that covers key business functions and the technologies used to ...
In this paper, we compare the characteristics of real world financial contracts to their counterparts in financial contracting theory. We do so by conducting a detailed study of actual contracts ...
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, ...
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 ...
Younger entrepreneurs are disadvantaged by traditional loan underwriting, which relies heavily on personal credit scores. With data from three fintech companies, we show that incorporating timely ...
We exploit a unique corpus of over 1,400 life narratives of older Americans collected by a team of writers during the 1930s. We combine detailed human readings with large language models (LLMs) to ...