Using Intellectual Property Data to Measure Cross-border Knowledge Flows

40 Pages Posted: 14 May 2019

See all articles by Jake Dubbert

Jake Dubbert

University of Denver

Alexander V. Giczy

United States Patent and Trademark Office

Nicholas A. Pairolero

United States Patent and Trademark Office

Andrew A. Toole

US Patent and Trademark Office

Date Written: March 2019

Abstract

This paper surveys the landscape of empirical studies on cross-border trade in knowledge that use IPRs data. Based on a thorough search of the literature, we identify and categorize the types and uses of IPRs data. Our discussion critically evaluates whether these data support the empirical findings in the studies by identifying where IPRs data are particularly useful and where these data have limitations. The final section of the paper discusses the potential value of making greater use of IPRs assignment data. The goal is to provide a reference to help policymakers evaluate the trade in knowledge literature, particularly the interpretation of IPRs-based evidence for policy decisions.

Keywords: intellectual property, measurement, technology transfer, international knowledge flows

JEL Classification: O31, O32, O33, O34

Suggested Citation

Dubbert, Jake and Giczy, Alexander and Pairolero, Nicholas and Toole, Andrew A., Using Intellectual Property Data to Measure Cross-border Knowledge Flows (March 2019). USPTO Economic Working Paper No. 2019-02. Available at SSRN: https://ssrn.com/abstract=3386326 or http://dx.doi.org/10.2139/ssrn.3386326

Jake Dubbert

University of Denver ( email )

2255 E Evans Ave
Denver, CO 80210
United States

Alexander Giczy

United States Patent and Trademark Office ( email )

Alexandria
VA 22313-1451
United States

Nicholas Pairolero (Contact Author)

United States Patent and Trademark Office ( email )

Andrew A. Toole

US Patent and Trademark Office ( email )

Alexandria
VA 22313-1451
United States

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