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On the distribution of patent citations and its fundamentals

Author

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  • Egger, Peter H.
  • Seliger, Florian
  • Woerter, Martin

Abstract

This paper analyzes features of the distribution of 3.7 mn. patent family applications from PatStat in 34 countries, 17 industries, and 11 years. Power-law regressions suggest that higher levels of R&D intensity and outward foreign direct investment in a country and sector are associated with a reduced concentration of patent citations.

Suggested Citation

  • Egger, Peter H. & Seliger, Florian & Woerter, Martin, 2016. "On the distribution of patent citations and its fundamentals," Economics Letters, Elsevier, vol. 147(C), pages 72-77.
    • Handle: RePEc:eee:ecolet:v:147:y:2016:i:c:p:72-77
    DOI: 10.1016/j.econlet.2016.08.011
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    References listed on IDEAS

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    Cited by:

    1. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).
    2. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, Center for Economic and Financial Research (CEFIR).
    3. von Kalckreuth, Ulf, 2019. "Statistical governance and FDI in emerging economies," Discussion Papers 37/2019, Deutsche Bundesbank.

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    More about this item

    Keywords

    Patent citations; Power law; Pareto regression; Fixed-effects quantiles regression;
    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
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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