Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity

Economic Research Working Paper No. 5

作者: Travis J. Lybbert, Nikolas J. Zolas | 出版年份: 2012

In this paper, the authors describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system and industry classification systems that organize economic data. This ‘Algorithmic Links with Probabilities’ (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. The authors conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses their preferred ALP concordance to analyze international patent flows based on trade patterns.

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