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PATSTAT revisited

Author

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  • Tarasconi, Gianluca
  • Kang, Byeongwoo

Abstract

This study provides a comprehensive summary of and guidance for using the EPO Worldwide Patent Statistical Database (PATSTAT), one of the most widely used patent databases for researchers. We highlight the three most important issues that PATSTAT users must consider when performing patent data analyses and suggest ways to deal with those issues. Although PATSTAT is chosen in this study, the issues that we discuss are also applicable to other patent databases.

Suggested Citation

  • Tarasconi, Gianluca & Kang, Byeongwoo, 2015. "PATSTAT revisited," IDE Discussion Papers 527, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    • Handle: RePEc:jet:dpaper:dpaper527
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    File URL: https://ir.ide.go.jp/?action=repository_action_common_download&item_id=37651&item_no=1&attribute_id=22&file_no=1
    File Function: First version, 2015
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    References listed on IDEAS

    as
    1. Michele Pezzoni & Francesco Lissoni & Gianluca Tarasconi, 2014. "How to kill inventors: testing the Massacrator© algorithm for inventor disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 477-504, October.
    2. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2003. "Citations, family size, opposition and the value of patent rights," Research Policy, Elsevier, vol. 32(8), pages 1343-1363, September.
    3. Grid Thoma & Salvatore Torrisi, 2007. "Creating Powerful Indicators for Innovation Studies with Approximate Matching Algorithms. A test based on PATSTAT and Amadeus databases," KITeS Working Papers 211, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Dec 2007.
    4. Gaétan de Rassenfosse & Hélène Dernis & Geert Boedt, 2014. "An Introduction to the Patstat Database with Example Queries," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 47(3), pages 395-408, September.
    5. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    6. Nagaoka, Sadao & Motohashi, Kazuyuki & Goto, Akira, 2010. "Patent Statistics as an Innovation Indicator," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1083-1127, Elsevier.
    7. Michele Pezzoni & Francesco Lissoni & Gianluca Tarasconi, 2014. "How to kill inventors: testing the Massacrator© algorithm for inventor disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 477-504, October.
    8. Catalina Martínez, 2011. "Patent families: When do different definitions really matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 39-63, January.
    9. Stéphane Maraut & Hélène Dernis & Colin Webb & Vincenzo Spiezia & Dominique Guellec, 2008. "The OECD REGPAT Database: A Presentation," OECD Science, Technology and Industry Working Papers 2008/2, OECD Publishing.
    10. Hélène Dernis & Mosahid Khan, 2004. "Triadic Patent Families Methodology," OECD Science, Technology and Industry Working Papers 2004/2, OECD Publishing.
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    Citations

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    Cited by:

    1. Hötte, Kerstin & Jee, Su Jung, 2022. "Knowledge for a warmer world: A patent analysis of climate change adaptation technologies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Marit E. Klemetsen, 2015. "The effects of innovation policies on firm level patenting," Discussion Papers 830, Statistics Norway, Research Department.
    3. Felix Moya-Anegon & Carmen Lopez-Illescas & Vicente Guerrero-Bote & Henk F. Moed, 2020. "The citation impact of social sciences and humanities upon patentable technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1665-1687, November.
    4. Seung Hwan Kim & Bogang Jun & Jeong-Dong Lee, 2023. "Technological relatedness: how do firms diversify their technology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 4901-4931, September.
    5. Massimiliano CODA-ZABETTA & Christian CHACUA & Francesco LISSONI & Ernest MIGUELEZ & Julio RAFFO & Deyun YIN, 2021. "The missing link: international migration in global clusters of innovation," Bordeaux Economics Working Papers 2021-02, Bordeaux School of Economics (BSE).
    6. Zi‐Lin He & Tony W. Tong & Yuchen Zhang & Wenlong He, 2018. "Constructing a Chinese Patent Database of listed firms in China: Descriptions, lessons, and insights," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 579-606, September.
    7. Brita Bye & Marit Klemetsen & Arvid Raknerud, 2019. "The impact of public R&D support on firms' patenting," Discussion Papers 911, Statistics Norway, Research Department.

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    More about this item

    Keywords

    Developed countries; Europe; Patents; Intellectual property; Information technology; Information retrieval; PATSTAT; Patent data analysis; Innovation studies;
    All these keywords.

    JEL classification:

    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • Y20 - Miscellaneous Categories - - Introductions and Prefaces - - - Introductions and Prefaces
    • Z00 - Other Special Topics - - General - - - General

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