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

Schubert, Torben LU and Gruppa, Hariolf (2011) In Applied Economics 43(8). p.941-950
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... (More)

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. © 2011 Taylor & Francis.

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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Scientometrics, Innovation and Invention, Specialisation
in
Applied Economics
volume
43
issue
8
pages
10 pages
publisher
Routledge
external identifiers
  • scopus:79953292325
ISSN
0003-6846
DOI
10.1080/00036840802600160
language
English
LU publication?
no
id
f460e038-3b8e-4a35-912b-5164f760eb44
date added to LUP
2016-05-18 13:31:15
date last changed
2017-03-27 10:20:23
@article{f460e038-3b8e-4a35-912b-5164f760eb44,
  abstract     = {<p>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. © 2011 Taylor &amp; Francis.</p>},
  author       = {Schubert, Torben and Gruppa, Hariolf},
  issn         = {0003-6846},
  keyword      = {Scientometrics,Innovation and Invention,Specialisation},
  language     = {eng},
  number       = {8},
  pages        = {941--950},
  publisher    = {Routledge},
  series       = {Applied Economics},
  title        = {Tests and confidence intervals for a class of scientometric, technological and economic specialization ratios},
  url          = {http://dx.doi.org/10.1080/00036840802600160},
  volume       = {43},
  year         = {2011},
}