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The dynamics of innovations and citations

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  • Ghiglino, Christian
  • Tabasso, Nicole

Abstract

We present a model in which patent citations occur as new ideas are produced from combinations of existing ideas. An idea’s usability in this process is represented as an interval in a variety space of ideas, whose length determines the likelihood of citation. This process endogenously derives exponential aging of patents, which is consistent with empirical observations. The endogeneity of aging sets our process apart from the standard preferential attachment literature.

Suggested Citation

  • Ghiglino, Christian & Tabasso, Nicole, 2015. "The dynamics of innovations and citations," Economics Letters, Elsevier, vol. 131(C), pages 94-97.
  • Handle: RePEc:eee:ecolet:v:131:y:2015:i:c:p:94-97
    DOI: 10.1016/j.econlet.2015.04.004
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    References listed on IDEAS

    as
    1. Ghiglino, Christian, 2012. "Random walk to innovation: Why productivity follows a power law," Journal of Economic Theory, Elsevier, vol. 147(2), pages 713-737.
    2. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 331-360.
    3. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    4. Marco, Alan C., 2007. "The dynamics of patent citations," Economics Letters, Elsevier, vol. 94(2), pages 290-296, February.
    5. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    6. Atalay, Enghin, 2013. "Sources of variation in social networks," Games and Economic Behavior, Elsevier, vol. 79(C), pages 106-131.
    7. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
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    Cited by:

    1. Mori, Tomoya & Sakaguchi, Shosei, 2018. "Collaborative knowledge creation: Evidence from Japanese patent data," MPRA Paper 88716, University Library of Munich, Germany.
    2. Goorha, Prateek, 2015. "Sequencing ideas into innovations through pure thought," Economics Letters, Elsevier, vol. 136(C), pages 201-203.

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    More about this item

    Keywords

    Citation dynamics; Citation network; Innovations; Idea applicability;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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