Flexible Parametric Models for Long-Tailed Patent Count Distributions
AbstractThis article explores alternative approaches to modeling the relationship between the number of patents and research and development expenditure. Patent counts typically exhibit long upper tails that are inadequately modeled by standard Poisson and negative binomial regression models. We compare the performance of two relatively new "semiparametric" approaches with two flexible parametric approaches in analysing two patent data sets. Copyright 2002 by Blackwell Publishing Ltd
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Bibliographic InfoArticle provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.
Volume (Year): 64 (2002)
Issue (Month): 1 (February)
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