This paper uses a large language model to develop an ex-ante measure of the commercial potential of scientific findings. In addition to validating the measure against the typical holdout sample, we validate it externally against 1.) the progression of scientific findings through a major...

Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability--whether firms in the industry are able to control the knowledge generated by their innovations--and...

This paper contributes to the literature on innovation policies and institutional theory on conditions for effective institutional changes. The "three rights" reform of 26 universities and the mixed ownership reform of Southwest Jiaotong University are important explorations made by China in...

Artificial intelligence (AI) is transforming production across all sectors of the economy, with the potential to both complement and substitute for traditional labor inputs. Healthcare is no exception. Dozens of recent academic studies demonstrate that AI can contribute to the healthcare value...

Moving beyond the combination of adoption subsidies, standards, and (albeit limited) attempts at carbon pricing that largely characterized U.S. climate policy over the last decade, recent climate-related legislation has transformed not only the scale of U.S. climate activities but also the...

Operation Warp Speed (OWS) was a U.S. government-led program to accelerate the development, production, and administration of COVID-19 vaccines. The program cut the typical ten-year timeline needed to develop a new vaccine down to ten months and began vaccinating vulnerable populations within a...

How should the government respond to automation? We study this question in a heterogeneous agent model that takes worker displacement seriously. We recognize that displaced workers face two frictions in practice: reallocation is slow and borrowing is limited. We first show that these frictions...

We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a high incidence of migration...

This study examines the impact of access to confidential administrative data on the rate, direction, and policy relevance of economics research. To study this question, we exploit the progressive geographic expansion of the U.S. Census Bureau's Federal Statistical Research Data Centers (FSRDCs)....

Concern exists that public funding of science is increasingly risk averse. Funders have addressed this concern by soliciting the submission of high-risk research to either regular or specially designed programs. Little evidence, however, has been gathered to examine the extent to which such...