An "Algorithmic Links with Probabilities" Concordance for Trademarks For Disaggregated Analysis of Trademark and Economic Data

Travis Lybbert, Nikolas Zolas and Prantik Bhattacharyya
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Prantik Bhattacharyya: Software Engineer, Klout

No 14, WIPO Economic Research Working Papers from World Intellectual Property Organization - Economics and Statistics Division

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.

Keywords: Trademarks; Economics; Concordance; International trade; ISIC; SITC (search for similar items in EconPapers)
Pages: 31 pages
Date: 2014-01
New Economics Papers: this item is included in nep-ipr, nep-pr~ and nep-sog
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Citations: View citations in EconPapers (2)

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http://www.wipo.int/edocs/pubdocs/en/wipo_pub_econstat_wp_14.pdf (application/pdf)

Related works:
Software Item: Concordance for Trademarks: Algorithmic Links with Probabilities (ALP) Industry Level-to-Trademark (NICE Level) Crosswalk (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:wip:wpaper:14

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