Flows of Knowledge from Universities and Federal Labs: Modeling the Flow of Patent Citations over Time and Across Institutional and Geographic Boundaries

Working Paper: NBER ID: w5712

Authors: Adam B. Jaffe; Manuel Trajtenberg

Abstract: The extent to which new technological knowledge flows across institutional and national boundaries is a question of great importance for public policy and the modeling of economic growth. This paper develops a model of the process generating subsequent citations to patents as a lens for viewing knowledge diffusion. We find that the probability of patent citation over time after a patent is granted fits well to a double-exponential function that can be interpreted as the mixture of diffusion and obsolescence functions. The results indicate that diffusion is geographically localized. Controlling for other factors, within-country citations are more numerous and come more quickly than those that cross country boundaries.

Keywords: No keywords provided

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
patent citations (O34)knowledge diffusion (O36)
geographical localization (R32)citation frequency (A14)
within-country citations (A14)citation frequency (A14)
university patents (O34)citation frequency (A14)
grant year (I23)citation frequency (A14)
institutional nature of assignee (F22)citation frequency (A14)
technological field (O30)citation frequency (A14)

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