An ‘Algorithmic Links with Probabilities’ Crosswalk for USPC and CPC Patent Classifications with an Application Towards Industrial Technology Composition

22 Pages Posted: 3 Apr 2016

See all articles by Nathan Goldschlag

Nathan Goldschlag

Center for Economic Studies, U.S. Census Bureau

Travis J. Lybbert

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

Nikolas Jason Zolas

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

Date Written: March 1, 2016

Abstract

Patents are a useful proxy for innovation, technological change, and diffusion. However, fully exploiting patent data for economic analyses requires patents be tied to measures of economic activity, which has proven to be difficult. Recently, Lybbert and Zolas (2014) have constructed an International Patent Classification (IPC) to industry classification crosswalk using an ‘Algorithmic Links with Probabilities’ approach. In this paper, we utilize a similar approach and apply it to new patent classification schemes, the U.S. Patent Classification (USPC) system and Cooperative Patent Classification (CPC) system. The resulting USPC-Industry and CPC-Industry concordances link both U.S. and global patents to multiple vintages of the North American Industrial Classification System (NAICS), International Standard Industrial Classification (ISIC), Harmonized System (HS) and Standard International Trade Classification (SITC). We then use the crosswalk to highlight changes to industrial technology composition over time. We find suggestive evidence of strong persistence in the association between technologies and industries over time.

Suggested Citation

Goldschlag, Nathan and Lybbert, Travis J. and Zolas, Nikolas Jason, An ‘Algorithmic Links with Probabilities’ Crosswalk for USPC and CPC Patent Classifications with an Application Towards Industrial Technology Composition (March 1, 2016). US Census Bureau Center for Economic Studies Paper No. CES-WP- 16-15, Available at SSRN: https://ssrn.com/abstract=2749287 or http://dx.doi.org/10.2139/ssrn.2749287

Nathan Goldschlag (Contact Author)

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

4600 Silver Hill Road
Washington, DC 20233-9100
United States

Travis J. Lybbert

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

One Shields Avenue
Davis, CA 95616
United States

Nikolas Jason Zolas

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

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