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Identifying the Age Profile of Patent Citations Author info | Abstract | Publisher info | Download info | Related research | Statistics Aditi Mehta () (Department of Economics, Boston University)
Marc Rysman () (Department of Economics, Boston University)
Tim Simcoe () (J.L. Rotman School of Management, University of Toronto)
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Previous work studying the age distribution of citations for patents relies on functional form assumptions to address the co-linearity between the birth year, citation year, and age. This paper proposes a non-parametric identification strategy that uses the lag between application and grant as a source of exogenous variation. We show empirically that the “citation clock” starts only when a patent issues, and we examine the potential bias if our assumption is incorrect. We use our approach to re-examine some prior results on the citation age profile of patents from different technological fields. We discuss potential extensions into other research areas.
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Paper provided by Boston University - Department of Economics in its series Boston University - Department of Economics - Working Papers Series with number
WP2007-021.
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Length: 21pages
Date of creation: Mar 2007Date of revision:
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Find related papers by JEL classification: L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance O3 - Economic Development, Technological Change, and Growth - - Technological Change
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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Bronwyn H. Hall & Jacques Mairesse & Laure Turner, 2005.
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Travaglini, Guido, 2008.
"Dynamic GMM Estimation With Structural Breaks. An Application to Global Warming and its Causes ,"
MPRA Paper
7108, University Library of Munich, Germany.
[Downloadable!]
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