Flexible Parametric Models for Long-Tailed Patent Count Distributions

This 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

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Year of publication:	2015
Authors:	Guo, Jie Qun ; Trivedi, Pravin K.
Publisher:	[S.l.] : SSRN
Subject:	Schätzung \| Estimation \| Theorie \| Theory \| Patent \| Forschungskosten \| Research expenditure

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Extent:	1 Online-Ressource (20 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Oxford Bulletin of Economics and Statistics, Vol. 64, pp. 63-82, 2002
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014115977