IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v43y2009i8p941-950.html
   My bibliography  Save this article

Tests and confidence intervals for a class of scientometric, technological and economic specialization ratios

Author

Listed:
  • Torben Schubert
  • Hariolf Grupp

Abstract

In economic, scientometric and innovation research, often so-called specialization indices are used. These indices measure comparative strengths or weaknesses as well as specialization profiles of the observation units with respect to certain criteria, such as patenting and publication or trade activities. They allow question like: is Germany specialized in the export of motor vehicles? Or is the UK specialized in biotech patents? Unfortunately, little is known about their statistical properties, which makes valid inferencing difficult. In this article we prove asymptotic normality for a certain class of scientometric, technological and some economic, though nonmonetary, specialization indices. We provide asymptotic confidence intervals and demonstrate in an example how to obtain statistically sound results. We will also address the problem of normalization of these indicators. All procedures proposed are provided in an add on package for R statistical environment.

Suggested Citation

  • Torben Schubert & Hariolf Grupp, 2009. "Tests and confidence intervals for a class of scientometric, technological and economic specialization ratios," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 941-950.
  • Handle: RePEc:taf:applec:v:43:y:2009:i:8:p:941-950
    DOI: 10.1080/00036840802600160
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840802600160
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patrick Herron & Aashish Mehta & Cong Cao & Timothy Lenoir, 2016. "Research diversification and impact: the case of national nanoscience development," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 629-659, November.
    2. Torben Schubert & Léopold Simar, 2011. "Innovation and export activities in the German mechanical engineering sector: an application of testing restrictions in production analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 55-69, August.
    3. repec:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0074-2 is not listed on IDEAS
    4. Torben Schubert & Andrea Bonaccorsi & Tasso Brandt & Daniela De Filippo & Benedetto Lepori & Andreas Niederl, 2014. "Is there a European university model? New evidence on national path dependence and structural convergence," Chapters,in: Knowledge, Diversity and Performance in European Higher Education, chapter 2, pages iii-iii Edward Elgar Publishing.
    5. Fabio Bertoni & Massimo Colombo & Anita Quas, 2015. "The patterns of venture capital investment in Europe," Small Business Economics, Springer, vol. 45(3), pages 543-560, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:43:y:2009:i:8:p:941-950. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.