An ‘Algorithmic Links with Probabilities’ Concordance for Trademarks: For Disaggregated Analysis of Trademark & Economic Data

36 Pages Posted: 31 Dec 2013

See all articles by Nikolas Jason Zolas

Nikolas Jason Zolas

U.S. Census Bureau - Center for Economic Studies; University of California, Davis

Travis J. Lybbert

University of California, Davis - Department of Agricultural and Resource Economics

Prantik Bhattacharyya

Klout

Date Written: September 1, 2013

Abstract

Trademarks (TMs) shape the competitive landscape of markets for goods and services in all countries through branding and conveying information and quality inherent in products. Yet, researchers are largely unable to conduct rigorous empirical analysis of TMs in the modern economy because TM data and economic activity data are organized differently and cannot be analyzed jointly at the industry or sectoral level. We propose an ‘Algorithmic Links with Probabilities’ (ALP) approach to match TM data to economic data and enable these data to speak to each other. Specifically, we construct a NICE Class Level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyze differences in TM usage across both economic and TM sectors. In this paper, we apply this ALP concordance for TMs to characterize patterns in TM applications across countries, industries, income levels and more. We also use the concordance to investigate some of the key determinants of international technology transfer by comparing bilateral TM applications and bilateral patent applications. We conclude with a discussion of possible extensions of this work, including deeper indicator-level concordances and further analyses that are possible once TM data are linked with economic activity data.

Suggested Citation

Zolas, Nikolas Jason and Lybbert, Travis J. and Bhattacharyya, Prantik, An ‘Algorithmic Links with Probabilities’ Concordance for Trademarks: For Disaggregated Analysis of Trademark & Economic Data (September 1, 2013). US Census Bureau Center for Economic Studies Paper No. CES-WP-13-49, Available at SSRN: https://ssrn.com/abstract=2373539 or http://dx.doi.org/10.2139/ssrn.2373539

Nikolas Jason Zolas (Contact Author)

U.S. Census Bureau - Center for Economic Studies ( email )

4700 Silver Hill Road
Washington, DC 20233
United States

University of California, Davis ( email )

One Shields Avenue
Apt 153
Davis, CA 95616
United States

Travis J. Lybbert

University of California, Davis - Department of Agricultural and Resource Economics ( email )

One Shields Avenue
Davis, CA 95616
United States

Prantik Bhattacharyya

Klout

San Francisco, CA
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
51
Abstract Views
570
rank
443,551
PlumX Metrics