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Remerge- regression-based record linkage with an application to PATSTAT

Author

Listed:
  • Michele Peruzzi
  • Georg Zachmann
  • Reinhilde Veugelers

Abstract

We further extend the information content in PATSTAT by linking it to Amadeus, a large database of companies that includes financial information. Patent microdata is now linked to financial performance data.Source code on Github.Download data.

Suggested Citation

  • Michele Peruzzi & Georg Zachmann & Reinhilde Veugelers, 2014. "Remerge- regression-based record linkage with an application to PATSTAT," Bruegel Working Papers 852, Bruegel.
    • Handle: RePEc:bre:wpaper:852
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    File URL: https://www.bruegel.org/wp-content/uploads/imported/publications/WP_2014_10iii.pdf
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    References listed on IDEAS

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    1. repec:wip:wpaper:5 is not listed on IDEAS
    2. Grid Thoma & Salvatore Torrisi & Alfonso Gambardella & Dominique Guellec & Bronwyn H. Hall & Dietmar Harhoff, 2010. "Harmonizing and Combining Large Datasets - An Application to Firm-Level Patent and Accounting Data," NBER Working Papers 15851, National Bureau of Economic Research, Inc.
    3. Travis J. Lybbert & Nikolas J. Zolas, 2012. "Getting Patents & Economic Data to Speak to Each Other: An ‘Algorithmic Links with Probabilities’ Approach for Joint Analyses of Patenting & Economic Activity," WIPO Economic Research Working Papers 05, World Intellectual Property Organization - Economics and Statistics Division, revised Oct 2012.
    4. Francesca Lotti & Giovanni Marin, 2013. "Matching of PATSTAT applications to AIDA firms: discussion of the methodology and results," Questioni di Economia e Finanza (Occasional Papers) 166, Bank of Italy, Economic Research and International Relations Area.
    5. Mark Huberty & Amma Serwaah & Georg Zachmann, 2014. "A flexible, scaleable approach to the international patent 'name game'," Bruegel Working Papers 850, Bruegel.
    6. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    7. Lanzi, Elisa & Verdolini, Elena & Haščič, Ivan, 2011. "Efficiency-improving fossil fuel technologies for electricity generation: Data selection and trends," Energy Policy, Elsevier, vol. 39(11), pages 7000-7014.
    8. Mark Huberty & Amma Serwaah & Georg Zachmann, 2014. "A scaleable approach to emissions-innovation record linkage," Working Papers 851, Bruegel.
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    Cited by:

    1. Valentin Reich, 2024. "Machine Learning Based Linkage of Company Data for Economic Research: Application to the EBDC Business Panels," ifo Working Paper Series 409, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Leon Bremer, 2023. "Fuzzy firm name matching: Merging Amadeus firm data to PATSTAT," Tinbergen Institute Discussion Papers 23-055/VIII, Tinbergen Institute.

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