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

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  • 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
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    References listed on IDEAS

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    1. Luca DE BENEDICTIS & Massimo TAMBERI, 2002. "A note on the Balassa Index of Revealed Comparative Advantage," Working Papers 158, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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    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. 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.
    4. Torben Schubert & Radhamany Sooryamoorthy, 2010. "Can the centre–periphery model explain patterns of international scientific collaboration among threshold and industrialised countries? The case of South Africa and Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 181-203, April.
    5. 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: Andrea Bonaccorsi (ed.), Knowledge, Diversity and Performance in European Higher Education, chapter 2, pages iii-iii, Edward Elgar Publishing.

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