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...

Do large firms produce more valuable inventions, and if so, why? After confirming that large firms indeed produce more valuable inventions, we consider two possible sources: a superior ability to invent, or a superior ability to extract value from their inventions. We develop a simple model that...

Do stronger intellectual property rights incentivize female participation in innovation? We provide new evidence on this question using a unique database of artificial intelligence patents publicly shared by the USPTO. Our identification strategy leverages China's WTO TRIPs accession, which led...

We introduce new historical administrative data identifying U.S. government-funded patents since the early twentieth century. In addition to the funding agency, the data report whether the government has title to the patent ("title" patents) or funded a patent assigned to a private organization...

Is public R&D spending complementary and thus "additional" to private R&D spending, or does it substitute for and tend to "crowd out" private R&D? Conflicting answers are given to this question. We survey the body of available economectric evidence accumulated over the past 35 years. A framework...

Despite their magnitude and potential economic impact, federal R&D expenditures outside of research universities have been little scrutinized by economists. This paper examines whether the series of initiatives since 1980 that have sought to encourage the patenting and technology transfer at the...

This paper assesses the validity and accuracy of firms' backward patent citations as a measure of knowledge flows from public research by employing a newly constructed dataset that matches patents to survey data at the level of the R&D lab. Using survey-based measures of the dimensions of...

We use the U.S. patent data merged with firm-level datasets to establish new facts about the role of mega firms in generating "novel patents"--innovations that introduce new combinations of technology components for the first time. While the importance of mega firms in novel patents had been...