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A Functional-Form-Free Test of the Research and Development/Firm Size Relationship

Bibliographic Data

ID19420178
AuthorsJames M Holmes (University at Buffalo, State University of New York), Patricia A Hutton (Canisius College), Edward P Weber (University at Buffalo, State University of New York), Edward Weber
Year1991
Volume9
Issue1
Pages85-90
Publication date1991-01-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1991.10509829
OpenAlexW2056533491
LanguageEN
Citations received1
References cited19

Parametric testing of the relationship between research and development (R&D) and firm size is limited by the hypothesized functional form, predominantly assumed to be linear in the logarithms of both variables. With a transformation of variables, the null hypothesis of constant returns to scale can be tested employing the multiple-rank F-test procedure. The findings of this analytical approach suggest that R&D intensity varies with firm size in some industries but not in others, and where it does vary, there is more evidence that R&D intensity is negatively rather than positively related to firm size

Econometrics · Economics · Firm Innovation and Growth · Mathematics · Geology

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Citations per year0.05
Citation span2007 - 2007 (1)
Highly citedNo

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