Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation
Applying quantile regression to 760 Finnish firms, we show that the relationship between R&D and firm performance is less straight forward than so far assumed. OLS regression analysis fails to capture the effect of R&D expenditure at different locations on the performance distribution. We reveal that R&D matters, especially on the medium quantiles, while regressing against the upper quantiles of the economic gains from innovation distribution exhibit decreasing returns scale in R&D. Our results confirm that Gaussian statistics fail to capture the most interesting part of the distribution - namely the extreme observations located in the tails.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 24 (2010)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/CIRA20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/CIRA20|