scispace - formally typeset
M

Manuel Trajtenberg

Researcher at Tel Aviv University

Publications -  98
Citations -  30357

Manuel Trajtenberg is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Government & Public policy. The author has an hindex of 45, co-authored 98 publications receiving 28777 citations. Previous affiliations of Manuel Trajtenberg include National Bureau of Economic Research & Economic Policy Institute.

Papers
More filters
Journal ArticleDOI

Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations

TL;DR: In this paper, the authors compare the geographic location of patent citations to those of cited patents, as evidence of the extent to which knowledge spillovers are geographically localized, and find that citations to U.S. patents are more likely to come from the U. S., and more likely than coming from the same state and SMSA as cited patents than one would expect based only on the preexisting concentration of related research activity.
Posted Content

Market value and patent citations

TL;DR: Hall et al. as mentioned in this paper explored the usefulness of patent citations as a measure of the "importance" of a firm's patents, as indicated by the stock market valuation of the firm's intangible stock of knowledge.
Journal ArticleDOI

A Penny for Your Quotes : Patent Citations and the Value of Innovations

TL;DR: In this paper, the authors put forward patent counts weighted by citations as indicators of the value of innovations, thereby overcoming the limitations of simple counts, and found that simple patent counts are highly correlated with contemporaneous RD, however, the association is within afield over time rather than cross-sectional.
ReportDOI

The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools

TL;DR: In particular, significant changes over time in the rate of patenting and in the number of citations made, as well as the inevitable truncation of the data, make it very hard to use the raw number of citation received by different patents directly in a meaningful way.
Journal ArticleDOI

General Purpose Technologies "Engines of Growth?"

TL;DR: In this article, a decentralized economy will have difficulty in fully exploiting the growth opportunities of GPT's: arms-length market transactions between the GPT and its users may result in "too little, too late" innovation.