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'Wacky' patents meet economic indicators

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  • Czarnitzki, Dirk
  • Hussinger, Katrin
  • Schneider, Cédric

Abstract

This study investigates whether standard patent measures for the importance and basicness of patents are able to distinguish between 'wacky' patents and a control group of randomly drawn patents. Our findings show that forward citations are good predictors of importance. However, the 'wacky' patents have higher originality, generality and average citation lags than the controls, which suggests that these indicators should be interpreted carefully.

Suggested Citation

  • Czarnitzki, Dirk & Hussinger, Katrin & Schneider, Cédric, 2011. "'Wacky' patents meet economic indicators," ZEW Discussion Papers 11-044, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:11044
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    Cited by:

    1. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    2. Malva, Antonio Della & Hussinger, Katrin, 2012. "Corporate science in the patent system: An analysis of the semiconductor technology," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 118-135.
    3. Adam B. Jaffe & Gaétan de Rassenfosse, 2017. "Patent citation data in social science research: Overview and best practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1360-1374, June.
    4. Dirk Czarnitzki & Cindy Lopes-Bento, 2014. "Innovation Subsidies: Does the Funding Source Matter for Innovation Intensity and Performance? Empirical Evidence from Germany," Industry and Innovation, Taylor & Francis Journals, vol. 21(5), pages 380-409, July.
    5. Baruffaldi, Stefano H. & Simeth, Markus, 2020. "Patents and knowledge diffusion: The effect of early disclosure," Research Policy, Elsevier, vol. 49(4).
    6. Elizabeth Webster & Paul H. Jensen & Alfons Palangkaraya, 2014. "Patent examination outcomes and the national treatment principle," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 449-469, June.
    7. Leiponen, Aija & Delcamp, Henry, 2019. "The anatomy of a troll? Patent licensing business models in the light of patent reassignment data," Research Policy, Elsevier, vol. 48(1), pages 298-311.
    8. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.

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    More about this item

    Keywords

    patents; patent indicators; quality measurement;
    All these keywords.

    JEL classification:

    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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