Abstract
dc:description.abstractInnovation has become the dominant economic idea of our time and has resulted in a proliferation of innovation-oriented rhetoric, and policies. There is a great need to understand and harness innovation, but it has proven to be as difficult to measure as it is to define. At present, the quest to understand innovation hinges on finding reliable ways to identify and measure it, the most promising of which is the analysis of patent information. Patents have been increasingly used by economists to track inventiveness, the transmission of knowledge, and their economic impact. However, it is evident that the maiority of patents have little or no economic potential, and so merely observing the number of patents provides little insight on innovation. It has become important, therefore, to develop reliable methods for measuring the true economic potential of patents. Of all the solutions proposed, the analysis of patent citations is the most promising. This study examines the relationship between patent citations and the private economic value of patents, and makes both theoretical and empirical contributions.
Degree
thesis:*- Department dc:contributor.department
- Sloan School of Management.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Daines, Gregory P
- Advisor dc:contributor.advisor
-
- Fiona Murray.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/39530
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/39530