Uncovering GPTS with patent data
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Author
Contributions
- Trajtenberg, Manuel. - Contributor
- National Bureau of Economic Research. - Contributor
Publication
2004 - National Bureau of Economic Research, Cambridge, Mass, Massachusetts
Language
English
Word Count
6,750 words, Guess
Page Count
27 pages
Identifiers
- OCLC Control Number57125565
- Open LibraryOL17625416M
Alternate Titles
- Uncovering General Purpose Technologies with patent data.
Description
"This paper asks the question: Can we see evidence of General Purpose Technologies in patent data? Using data on three million US patents granted between 1967 and 1999, and their citations received between 1975 and 2002, we construct a number of measures of GPTs, including generality, number of citations, and patent class growth, for patents themselves and for the patents that cite the patents. A selection of the top twenty patents in the tails of the distribution of several of these measures yields a set of mostly ICT technologies, of which the most important are those underlying transactions on the internet and object-oriented software. We conclude with a brief discussion of the problems we encountered in developing our measures and suggestions for future work in this area"--National Bureau of Economic Research web site.
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