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Insight into Different Types of Patent Families

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  • Catalina Martinez

    (Institute of Public Goods and Policies (IPP-CSIC))

Abstract

What are patent families? What is the impact of adopting one definition or another? Are some definitions of patent families better suited than others for certain uses in statistical and economic analysis? The aim of this paper is to provide some answers to these questions, compare the methodologies and outcomes of the most commonly used patent family definitions and provide guidance on how to build families based on raw data from the EPO Worldwide Patent Statistics database (PATSTAT). One of our findings, based on a characterisation of family structures, is that extended patent families and other family definitions, such as equivalents and single-priority families, provide identical outcomes for about 75% of the families with earliest priority dates in the 1990s because they have quite simple structures. Differences across definitions only become apparent for the families with more complex structures, which represent 25% of the families of that period. Éclairage sur différents types de familles de brevets Qu’est-ce qu’une famille de brevets ? Quelles conséquences l’adoption de telle ou telle définition peut-elle avoir ? Certaines définitions des familles de brevets sont-elles mieux adaptées que d’autres à certains usages en analyse statistique et économique ? Le présent document a pour objet d’apporter des réponses à ces questions, de comparer les méthodologies et les résultats des définitions de familles de brevets les plus courantes et de donner des indications sur la marche à suivre pour construire des familles de brevets à partir des données brutes de la base de données mondiale de l’OEB sur les brevets (PATSTAT). L’une de nos conclusions, fondée sur une caractérisation des structures des familles de brevets, est que des familles de brevets étendues et d’autres types de familles de brevets, tels que les équivalents et les familles de brevets partageant la même priorité, fournissent des résultats identiques pour 75 % environ des familles dont les premières dates de priorité se situent dans les années 90, car elles présentent des structures relativement simples. Les définitions ne commencent à diverger que pour les familles offrant des structures plus complexes, lesquelles représentent 25 % de l’ensemble pour cette période.

Suggested Citation

  • Catalina Martinez, 2010. "Insight into Different Types of Patent Families," OECD Science, Technology and Industry Working Papers 2010/2, OECD Publishing.
  • Handle: RePEc:oec:stiaaa:2010/2-en
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    File URL: http://dx.doi.org/10.1787/5kml97dr6ptl-en
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    1. repec:gam:jsusta:v:9:y:2017:i:4:p:548-:d:95055 is not listed on IDEAS
    2. Lazkano, Itziar & Pham, Linh, 2016. "Do Fossil fuel Taxes Promote Innovation in Renewable Electricity Generation?," Discussion Paper Series in Economics 16/2016, Department of Economics, Norwegian School of Economics.
    3. repec:wly:econjl:v:127:y:2017:i:604:p:2006-2040 is not listed on IDEAS
    4. repec:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2311-4 is not listed on IDEAS
    5. Hall, Bronwyn H. & Helmers, Christian, 2013. "Innovation and diffusion of clean/green technology: Can patent commons help?," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 33-51.
    6. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2017. "Coherent diversification in corporate technological portfolios," Papers 1707.02188, arXiv.org.
    7. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    8. Vincenzo Verardi & Marjorie Gassner & Darwin Ugarte, 2012. "Robustness for dummies," United Kingdom Stata Users' Group Meetings 2012 09, Stata Users Group.
    9. Gurney, Thomas & Horlings, Edwin & van den Besselaar, Peter & Sumikura, Koichi & Schoen, Antoine & Laurens, Patricia & Pardo, Daniel, 2014. "Analysing knowledge capture mechanisms: Methods and a stylised bioventure case," Journal of Informetrics, Elsevier, vol. 8(1), pages 259-272.
    10. Antoine Dechezleprêtre & Yann Ménière & Myra Mohnen, 2017. "International patent families: from application strategies to statistical indicators," GRI Working Papers 264, Grantham Research Institute on Climate Change and the Environment.
    11. Christian Helmers & Henry G. Overman, 2017. "My Precious! The Location and Diffusion of Scientific Research: Evidence from the Synchrotron Diamond Light Source," Economic Journal, Royal Economic Society, vol. 127(604), pages 2006-2040, September.
    12. de Rassenfosse, Gaétan & Dernis, Hélène & Guellec, Dominique & Picci, Lucio & van Pottelsberghe de la Potterie, Bruno, 2013. "The worldwide count of priority patents: A new indicator of inventive activity," Research Policy, Elsevier, pages 720-737.
    13. repec:eee:jbfina:v:80:y:2017:i:c:p:51-70 is not listed on IDEAS
    14. Schurer, Stefanie & Kühnle, Daniel & Scott, Anthony & Cheng, Terence Chai, 2012. "One Man's Blessing, Another Woman's Curse? Family Factors and the Gender-Earnings Gap of Doctors," IZA Discussion Papers 7017, Institute for the Study of Labor (IZA).
    15. Lazkano, Itziar & Nøstbakken, Linda & Pelli, Martino, 2017. "From fossil fuels to renewables: The role of electricity storage," European Economic Review, Elsevier, pages 113-129.

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