Patent Characteristics and the Age‐Value Relationship: Study of Oceantomo Auctioned Us Singleton Patents for the Period 2006–2008

19 Pages Posted: 3 May 2018

See all articles by Pratheeba Vimalnath

Pratheeba Vimalnath

University of Cambridge

Anjula Gurtoo

Indian Institute of Science

Mary Mathew

TECHLINK - Matching Science

Date Written: June 2018

Abstract

The article characterizes high and low value patents based on the non‐linearity of the age‐value relationship, as an attempt to provide some statistical understanding on the difference in the value of patent characteristics over time. A set of 138 US singleton patents, mainly from the computers and communication field, successfully auctioned by an US auction firm called OceanTomo during 2006–2008 forms the data. Analysis shows evidence of non‐linearity in the patent age‐value relationship and the sensitivity of patent characteristics to temporal dimension in explaining value of patented knowledge. The U‐shaped temporal value of knowledge, identifying older patented knowledge as more valuable, thus, finds support. Furthermore, patents sold in their first half exhibit more lag, less patent scope and less forward citations. Patents sold by firms dominate the younger patent, while the older patent cohort finds more patents sold by individuals. These and other results are discussed for their significance for patent sale. We acknowledge the limitations of a small sample size. Nevertheless, the article provides statistical understanding on the potential characteristics of high and low value patents, explored through the non‐linear age value dynamics.

Suggested Citation

Vimalnath, Pratheeba and Gurtoo, Anjula and Mathew, Mary, Patent Characteristics and the Age‐Value Relationship: Study of Oceantomo Auctioned Us Singleton Patents for the Period 2006–2008 (June 2018). R&D Management, Vol. 48, Issue 3, pp. 271-289, 2018, Available at SSRN: https://ssrn.com/abstract=3172404 or http://dx.doi.org/10.1111/radm.12262

Pratheeba Vimalnath (Contact Author)

University of Cambridge ( email )

17 Charles Babbage Road
Cambridge, CB3 0FS
United Kingdom

HOME PAGE: http://https://www.ifm.eng.cam.ac.uk/people/pv302/

Anjula Gurtoo

Indian Institute of Science ( email )

Bangalore, IN Karnataka 560012
India

Mary Mathew

TECHLINK - Matching Science ( email )

255 Duncan Mill Road, unit 405
Toronto, Ontario M3B 3H9
Canada

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
1
Abstract Views
135
PlumX Metrics