IDEAS home Printed from
   My bibliography  Save this paper

The OECD REGPAT Database: A Presentation


  • Stéphane Maraut
  • Hélène Dernis


  • Colin Webb


  • Vincenzo Spiezia


  • Dominique Guellec



The OECD REGPAT database presents patent data that have been linked to regions according to the addresses of the applicants and inventors. The data have been 'regionalised' at a very detailed level so that more than 2 000 regions are covered across OECD countries. REGPAT allows patent data to be used in connection with other regional data such as GDP or labour force statistics, and other patent-based information such as citations, technical fields and patent holder's characteristics (industry, university, etc.), thus providing researchers with the means to develop a rich set of new indicators and undertake a broad range of analyses to address issues relating to the regional dimension of innovation. By making regionalised patent data available to all students interested in the field, the OECD aims to stimulate research and contribute to a better understanding of the regional dimension of innovation. In addition, the methodology used for the construction of REGPAT is published, to give users the opportunity to suggest modifications and thus contribute to improvements in the quality of REGPAT. The full technical description of the REGPAT database as accessible to users is provided in annex. Patent data provide unique insights into the outcome and characteristics of inventive activities, including at regional level. They have limitations however, like all data sources, and should be handled with methodological care. Base de données REGPAT de l'OCDE : Présentation La base REGPAT de l'OCDE présente des données relatives aux brevets appariées à des régions en fonction des adresses des demandeurs et inventeurs. Le niveau de détail de cette « régionalisation » est très poussé, de sorte que plus de 2 000 régions de toute la zone OCDE sont couvertes. REGPAT permet d'utiliser les données concernant les brevets en relation avec d'autres données régionales telles que le PIB ou les statistiques sur la main-d'oeuvre, et avec d'autres informations propres aux brevets - citations, domaines techniques, caractéristiques du détenteur du brevet (secteur d'activité, université, etc.) ; les chercheurs peuvent ainsi agencer à leur guise un ensemble élargi d'indicateurs nouveaux et se livrer à des analyses très diverses portant sur les questions liées à la dimension régionale de l'innovation. En mettant des données régionalisées sur les brevets à la disposition de tous les analystes qui s'intéressent à ce domaine, l'OCDE a pour objectif de stimuler la recherche et de concourir à mieux faire appréhender cette dimension. Par ailleurs, la méthodologie présidant à la construction de REGPAT est rendue publique, de sorte que ses utilisateurs peuvent suggérer des modifications et, par là, contribuer à son amélioration qualitative. La description technique complète de la base telle qu'y accède l'usager est fournie en annexe. Les données relatives aux brevets livrent des enseignements sans équivalents sur les résultats et les caractéristiques des activités d'invention, y compris au niveau régional. Comme toutes les sources de données, elles comportent toutefois des limites et doivent être manipulées avec les précautions méthodologiques d'usage.

Suggested Citation

  • 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.
  • Handle: RePEc:oec:stiaaa:2008/2-en

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Klette, Tor Jakob, 1999. "Market Power, Scale Economies and Productivity: Estimates from a Panel of Establishment Data," Journal of Industrial Economics, Wiley Blackwell, vol. 47(4), pages 451-476, December.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Sjoholm, Fredrik & Lipsey, Robert E, 2006. "Foreign Firms and Indonesian Manufacturing Wages: An Analysis with Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 55(1), pages 201-221, October.
    4. Rachel Griffith, 1999. "Using the ARD establishment level data to look at foreign ownership and productivity in the UK," IFS Working Papers W99/06, Institute for Fiscal Studies.
    5. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    6. Ralf Martin, 2005. "Productivity Dispersion, Competition and Productivity Measurement," CEP Discussion Papers dp0692, Centre for Economic Performance, LSE.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    9. Chad Syverson, 2004. "Market Structure and Productivity: A Concrete Example," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1181-1222, December.
    10. Davies, Stephen W & Lyons, Bruce R, 1991. "Characterising Relative Performance: The Productivity Advantage of Foreign Owned Firms in the UK," Oxford Economic Papers, Oxford University Press, vol. 43(4), pages 584-595, October.
    11. James R. Markusen, 1995. "The Boundaries of Multinational Enterprises and the Theory of International Trade," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 169-189, Spring.
    12. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    13. Rachel Griffith & Helen Simpson, 2004. "Characteristics of Foreign-Owned Firms in British Manufacturing," NBER Chapters,in: Seeking a Premier Economy: The Economic Effects of British Economic Reforms, 1980-2000, pages 147-180 National Bureau of Economic Research, Inc.
    14. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    15. Malcolm Baker & C. Fritz Foley & Jeffrey Wurgler, 2004. "The Stock Market and Investment: Evidence from FDI Flows," NBER Working Papers 10559, National Bureau of Economic Research, Inc.
    16. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    17. James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
    18. Helpman, Elhanan, 1984. "A Simple Theory of International Trade with Multinational Corporations," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 451-471, June.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    20. Haijime Katayama & Shihua Lu & James Tybout, 2003. "Why Plant-Level Productivity Studies are Often Misleading, and an Alternative Approach to Interference," NBER Working Papers 9617, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:oec:stiaaa:2008/2-en. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.