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

How does the publication of patents affect innovation? To answer this question, we exploit a large-scale natural experiment — the passage of the American Inventor's Protection Act (AIPA) — that accelerated the public disclosure of most patents in the U.S. by two years. After the passage of...

Alphabetical name order is the norm for joint publications in economics. However, alphabetical order confers greater benefits on the first author. In a two-author model, we introduce and study certified random order: the uniform randomization of names made universally known by a commonly...

Relevant advances in the mitigation of environmental impact could be obtained by the appropriate diffusion of existing environmental technologies. In this paper, we look at the diffusion of knowledge related to environmental technologies developed within the oil and gas industry. To assess...

Using data on academic citations, career and educational histories of mathematicians, and disaggregated distance data for the world's top 1000 math departments, we study how geography and ties affect knowledge flows among scholars. The ties we consider are coauthorship, past colocation,...

The candor of patent applicants is an important determinant of patent quality. This paper investigates whether patent applicants strategically withhold citations to material quot;prior art.quot; Citation data suggest that applicants withhold between 21 and 32 percent of relevant citations....

Der Begriff Open Innovation steht für die Öffnung von unternehmensinternen Innovationsprozessen für sogenannte "externe Quellen". Zu diesen externen Quellen zählen beispielsweise Lieferanten, Partner, Experten aus Forschungseinrichtungen und insbeson-dere auch Kunden. Diese werden gezielt in...

This paper analyzes the recognition of women's innovative ideas. Bibliometric data from research in economics are used to investigate gender biases in citation patterns. Based on deep learning and machine learning techniques, one can (1) establish the similarities between papers (2) build a link...