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Analysing innovative output in a CIS database: taking account of some nasty details

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  • Mikko Paananen
  • Alfred Kleinknecht
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    Abstract

    Recent analyses of Community Innovation Survey (CIS) data suffer from methodological shortcomings. Using Finnish CIS data, we illustrate the potential consequences of these shortcomings and propose ways of dealing with them. We show how the neglect of lag structures between dependent and independent variables has certain consequences on the results. It is also important to check and identify any differences in the typical lifecycle durations between industries. Finally, the precise definition of ‘innovators’ to be included in the estimate also has a significant impact on the results, as does the non-normal distribution of shares in the sales of innovative products. Earlier studies have not been too explicit on some of these problems.

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    Bibliographic Info

    Article provided by FrancoAngeli Editore in its journal ECONOMIA E POLITICA INDUSTRIALE.

    Volume (Year): 2010/1 (2010)
    Issue (Month): 1 ()
    Pages: 13-31

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    Handle: RePEc:fan:polipo:v:html10.3280/poli2010-001002

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    Related research

    Keywords: Determinanti dell’innovazione; output innovativo; collaborazione R&S; community innovation survey (CIS);

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    Cited by:
    1. Daria Ciriaci, 2011. "Intangible resources: the relevance of training for European firms’ innovative performance," JRC-IPTS Working Papers on Corporate R&D and Innovation 2011-06, Institute of Prospective Technological Studies, Joint Research Centre.

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