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Attenuation bias when measuring inventive performance

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  • Zwick, Thomas
  • Frosch, Katharina

Abstract

Most previous results on determinants of inventive performance are biased because inventive performance is measured with error. This measurement error causes attenuation bias. More specifically, for example age and education as drivers of patenting success have biased coefficients and too high standard errors when inventive performance is measured in short observation periods. The reason for measurement errors in inventive performance is that patents are typically applied for in waves.

Suggested Citation

  • Zwick, Thomas & Frosch, Katharina, 2016. "Attenuation bias when measuring inventive performance," ZEW Discussion Papers 16-014, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:16014
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    References listed on IDEAS

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    7. Giuri, Paola & Mariani, Myriam, 2007. "Inventors and invention processes in Europe: Results from the PatVal-EU survey," Research Policy, Elsevier, vol. 36(8), pages 1105-1106, October.
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    9. Hoisl, Karin, 2007. "Tracing mobile inventors--The causality between inventor mobility and inventor productivity," Research Policy, Elsevier, vol. 36(5), pages 619-636, June.
    10. Jung, Taehyun & Ejermo, Olof, 2014. "Demographic patterns and trends in patenting: Gender, age, and education of inventors," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 110-124.
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    Cited by:

    1. Zwick, Thomas & Frosch, Katharina & Hoisl, Karin & Harhoff, Dietmar, 2017. "The power of individual-level drivers of inventive performance," Research Policy, Elsevier, vol. 46(1), pages 121-137.

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    More about this item

    Keywords

    Measurement error; inventive performance; observation period;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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