IDEAS home Printed from https://ideas.repec.org/p/jet/dpaper/dpaper527.html
   My bibliography  Save this paper

PATSTAT revisited

Author

Listed:
  • 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
    as

    Download full text from publisher

    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
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kerstin Hotte & Su Jung Jee, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," Papers 2108.03722, arXiv.org, revised Apr 2022.
    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. 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).
    5. Hötte, Kerstin & Jee, Su Jung, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," INET Oxford Working Papers 2021-19, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    6. Kim, Seung Hwan & Jun, Bogang & Lee, Jeong-Dong, 2021. "Technological relatedness: How do firms diversify their technology?," SocArXiv 47ank, Center for Open Science.
    7. 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.
    8. Brita Bye & Marit Klemetsen & Arvid Raknerud, 2019. "The impact of public R&D support on firms' patenting," Discussion Papers 911, Statistics Norway, Research Department.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefano Breschi & Francesco Lissoni & Ernest Miguelez, 2017. "Foreign-origin inventors in the USA: testing for diaspora and brain gain effects," Journal of Economic Geography, Oxford University Press, vol. 17(5), pages 1009-1038.
    2. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    3. Fritsch, Michael & Wyrwich, Michael, 2021. "Is innovation (increasingly) concentrated in large cities? An international comparison," Research Policy, Elsevier, vol. 50(6).
    4. Satoshi Yasukawa & Shingo Kano, 2015. "Comparison of examiners’ forward citations in the United States and Japan with pairs of equivalent patent applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1189-1205, February.
    5. Dieter F. Kogler & Jürgen Essletzbichler & David L. Rigby, 2017. "The evolution of specialization in the EU15 knowledge space," Journal of Economic Geography, Oxford University Press, vol. 17(2), pages 345-373.
    6. de Rassenfosse, Gaétan & Jaffe, Adam B., 2018. "Econometric evidence on the depreciation of innovations," European Economic Review, Elsevier, vol. 101(C), pages 625-642.
    7. Ferrucci, Edoardo & Lissoni, Francesco, 2019. "Foreign inventors in Europe and the United States: Diversity and Patent Quality," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    8. Cristelli, Gabriele & Lissoni, Francesco, 2020. "Free movement of inventors: open-border policy and innovation in Switzerland," MPRA Paper 107433, University Library of Munich, Germany.
    9. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).
    10. Antoine Dechezleprêtre & Yann Ménière & Myra Mohnen, 2017. "International patent families: from application strategies to statistical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 793-828, May.
    11. Cristelli, Gabriele & Lissoni, Francesco, 2020. "Free movement of inventors: open-border policy and innovation in Switzerland," MPRA Paper 104120, University Library of Munich, Germany.
    12. Massimiliano Ferrara & Roberto Mavilia & Bruno Antonio Pansera, 2017. "Extracting knowledge patterns with a social network analysis approach: an alternative methodology for assessing the impact of power inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1593-1625, December.
    13. Spyros Arvanitis & Florian Seliger & Martin Woerter, 2020. "Knowledge Spillovers, Competition and Innovation Success," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1017-1041, October.
    14. Sadao Nagaoka & Tsukada Naotoshi, 2014. "Assessing the effects of international research collaboration on the invention process: some evidence from triadic patent data," Chapters, in: Sanghoon Ahn & Bronwyn H. Hall & Keun Lee (ed.), Intellectual Property for Economic Development, chapter 7, pages 159-179, Edward Elgar Publishing.
    15. Dorner, Matthias & Harhoff, Dietmar & Gaessler, Fabian & Hoisl, Karin & Poege, Felix, 2019. "Linked Inventor Biography Data 1980-2014 : (INV-BIO ADIAB 8014)," FDZ Datenreport. Documentation on Labour Market Data 201803_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    16. Wu, Howei & Lin, Jia & Wu, Ho-Mou, 2022. "Investigating the real effect of China’s patent surge: New evidence from firm-level patent quality data," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 422-442.
    17. Zafer Sonmez, 2018. "Interregional inventor collaboration and the commercial value of patented inventions: evidence from the US biotechnology industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 399-438, September.
    18. Stephane Lhuillery & Julio Raffo & Intan Hamdan-Livramento, 2016. "Measuring creativity: Learning from innovation measurement," WIPO Economic Research Working Papers 31, World Intellectual Property Organization - Economics and Statistics Division.
    19. repec:iab:iabfda:201803(en is not listed on IDEAS
    20. Hille, Erik & Althammer, Wilhelm & Diederich, Henning, 2020. "Environmental regulation and innovation in renewable energy technologies: Does the policy instrument matter?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    21. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jet:dpaper:dpaper527. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michitaka Imamitsu (email available below). General contact details of provider: https://edirc.repec.org/data/idegvjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.