Nicholas A. Pairolero is an Economist at the United States Patent and Trademark Office. His research interests include the economics of innovation, intellectual property, and applied microeconomics. Nick holds a B.B.A. in Economics and Mathematics from the University of Wisconsin Eau Claire, an M.A. in Economics from Indiana University Bloomington, and a Ph.D. in Economics from Indiana University Bloomington.
Inventing AI: Tracing the Diffusion of Artificial Intelligence with US Patents (with A. Toole, A. Giczy, J. Forman, C. Pulliam, M. Such, K. Chaki, D. Orange, A. Thomas Homescu, J. Frumkin, YY. Chen, V. Gonzales, C. Hannon, S. Melnick, E. Nilsson, and B. Rifkin), USPTO IP Data Highlights, No. 5, 2020. Available at https://www.uspto.gov/sites/default/files/documents/OCE-DH-AI.pdf
The Promise of Machine Learning for Patent Landscaping (with A. Toole, J. Forman, and A. Giczy), Santa Clara High Tech. LJ, 36, p.433., 2020. Available at https://digitalcommons.law.scu.edu/chtlj/vol36/iss4/3/
Adjusting to Alice: USPTO Patent Examination Outcomes after Alice Corp. v. CLS Bank International (with A. Toole), USPTO IP Data Highlights, No. 3, 2020. Available at https://www.uspto.gov/sites/default/files/documents/OCE-DH_AdjustingtoAlice.pdf
Shorter Patent Pendency Without Sacrificing Quality: The Use of Examiner’s Amendments at the USPTO (with C. deGrazia and M. Teodorescu), Academy of Management Proceedings, vol 2019, no 1, August 2019. Available at https://journals.aom.org/doi/pdf/10.5465/AMBPP.2019.58
Embracing Invention Similarity for the Measurement of Vertically Overlapping Claims (with C. deGrazia and J. Frumkin), Economics of Innovation and New Technology, 2019. Available at https://www.tandfonline.com/doi/full/10.1080/10438599.2019.1593035
Using Intellectual Property Data to Measure Cross-border Knowledge Flows (with J. Dubbert, A. Giczy and A. Toole), USPTO Economic Working Paper Series No. 2019-02, 2019. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3386326