Causes, Consequences and Dynamics of 'Complex' Distributions of Technological Activities: The Case of Prolific Inventors

William Latham and Christian Le Bas ()
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Christian Le Bas: Department of Economics,University Lumière Lyon 2

No 10-02, Working Papers from University of Delaware, Department of Economics

Abstract: We provide a framework for understanding the causes and consequences of the observed shapes of the distributions of individual inventors' productivities. We review a literature that begins with Lotka's (1926) "law" regarding the persistence of variability in scientific productivity at any point in time and also over time. We discuss use of the "power law" and the Pareto distribution to describe and explain the empirical distributions. We focus on the upper parts of the frequency distributions for inventors exploring the processes underlying knowledge accumulation at the individual level, including its features, characteristics, and structural trends. Finally we explore the specific processes by which these individuals create, maintain, and increase knowledge accumulation as their careers evolve.

Keywords: patents; inventors; prolific; lotka (search for similar items in EconPapers)
JEL-codes: B52 O31 O34 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2010
New Economics Papers: this item is included in nep-ino
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Citations: View citations in EconPapers (4)

Published in Handbook on The Economic Complexity of Technological Change, Cristiano Antonelli (ed.), Edward Elgar, Cheltenham, 2011.

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Related works:
Chapter: Causes, Consequences and Dynamics of ‘Complex’ Distributions of Technological Activities: The Case of Prolific Inventors (2011)
Working Paper: Causes, consequences and dynamics of 'complex' distributions of technological activities: The case of prolific inventors (2011)
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