A dynamic stochastic analysis of international patent application and renewal processes
Yi Deng
International Journal of Industrial Organization, 2011, vol. 29, issue 6, 766-777
Abstract:
This paper formulates a dynamic stochastic model to examine the joint patent application and renewal behaviors under an international patent-protection regime. The framework makes it possible to utilize both the cross-sectional (multi-country application) and the time-series (patent renewal) dimensions of available international patenting data to estimate the private value of patent protection, and allows us to distinguish more aspects of patent returns. The evolution dynamics of the value of European patents in pharmaceutical and electronics industries are examined. Estimation results indicate that pharmaceutical patents are endowed with higher initial returns, thus their owners tend to seek patent protection in more countries than electronics patent holders. However, pharmaceutical patents become obsolete at a much faster pace than electronics patents, and consequently they have lower renewal rates and shorter lives.
Keywords: Patent application; Patent renewal; EPO (search for similar items in EconPapers)
JEL-codes: O34 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167718711000440
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:indorg:v:29:y:2011:i:6:p:766-777
DOI: 10.1016/j.ijindorg.2011.04.004
Access Statistics for this article
International Journal of Industrial Organization is currently edited by P. Bajari, B. Caillaud and N. Gandal
More articles in International Journal of Industrial Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().