In recent decades, Chinese researchers have become preeminent contributors to the scientific enterprise, as reflected by the number of publications originating from Chinese research institutions. China's rise in science has the potential to push forward the global frontier, but mere production...

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

We introduce, validate, and provide a public database of a new measure of the knowledge inventors draw on: scientific references in patent specifications. These references are common and algorithmically extractable. Critically, they are very different from the "front page" prior art commonly...

This paper examines the relationship between placement of publications in Top Five (T5) journals and receipt of tenure in academic economics departments. Analyzing the job histories of tenure-track economists hired by the top 35 U.S. economics departments, we find that T5 publications have a...

We study how citation patterns differ between journal tiers in economics. Concretely, we analyze citations patterns of more than 6,000 economics research articles published in top five, second tier, and top field economics journals between 1992 and 1996. In line with previous literature, we find...

We use textual analysis of high-dimensional data from patent documents to create new indicators of technological innovation. We identify significant patents based on textual similarity of a given patent to previous and subsequent work: these patents are distinct from previous work but are...

In science, self-citation is often interpreted as an act of self-promotion that (artificially) boosts the visibility of one's prior work in the short term, which could then inflate professional authority in the long term. Recently, in light of research on the gender gap in self-promotion, two,...

We curate and characterize a complete set of citations from patents to scientific articles, including nearly 16 million from the full text of USPTO and EPO patents. Combining heuristics and machine learning, we achieve 25% higher performance than machine learning alone. At 99.4% accuracy,...

From 2000 to 2016 China increased its scientific publications in the international journals indexed by Scopus to become the largest contributor to global science, accounting for about 23% of journal articles adjusted for the Chinese share of addresses or names on publications. Publications with...

Patents and citations are powerful tools for understanding innovative activity inside the firm, and are increasingly use in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative firms, biases may be...