A Novel Technology-Industry Concordance Table Based on Linked Inventor-Establishment Data

35 Pages Posted: 5 Sep 2017 Last revised: 26 Oct 2017

See all articles by Matthias Dorner

Matthias Dorner

Institute for Employment Research (IAB); Max Planck Institute for Innovation and Competition

Dietmar Harhoff

Max Planck Institute for Innovation and Competition; Ludwig-Maximilians-Universität München; Centre for Economic Policy Research (CEPR)

Date Written: October 25, 2017

Abstract

Mapping technologies into industries is frequently required in empirical innovation studies, but many concordances only provide coarse mappings. We develop novel concordance tables between industries and technologies making use of linked inventor-employee patent data for Germany. The data comprise 235,933 patents filed between 1999 and 2011 at the European Patent Office. Data on inventors are matched and disambiguated with social security records available at the Institute for Employment Research. Employment data recorded in this database include detailed industry codes describing the industrial activities of the inventors’ establishments. The linked inventor-establishment microdata allow us to identify the precise industry of origin of inventions, combine them with technology classifications from the inventors’ patents and to generate novel concordance tables. We evaluate our approach by comparing the concordance tables with existing work, and we discuss the validity of patent statistics by industries as indicators for innovation.

Keywords: patents, international patent classification, industry classification, concordance, linked inventor-establishment data

JEL Classification: L13, L20, O34

Suggested Citation

Dorner, Matthias and Harhoff, Dietmar, A Novel Technology-Industry Concordance Table Based on Linked Inventor-Establishment Data (October 25, 2017). Max Planck Institute for Innovation & Competition Research Paper No. 17-10. Available at SSRN: https://ssrn.com/abstract=2966603 or http://dx.doi.org/10.2139/ssrn.2966603

Matthias Dorner (Contact Author)

Institute for Employment Research (IAB) ( email )

Regensburger Str. 104
Nuremberg, 90478
Germany

Max Planck Institute for Innovation and Competition ( email )

Marstallplatz 1
Munich, Bayern 80539
Germany

Dietmar Harhoff

Max Planck Institute for Innovation and Competition ( email )

Marstallplatz 1
Munich, Bayern 80539
Germany
+49 89 24246 550 (Phone)
+49 89 24246 599 (Fax)

HOME PAGE: http://www.ip.mpg.de

Ludwig-Maximilians-Universität München ( email )

Munich, 80539
Germany

Centre for Economic Policy Research (CEPR)

London
United Kingdom

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