Data and Code for: M&A and Innovation: A New Classification of Patents
收藏ICPSR2023-01-01 更新2026-04-16 收录
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https://www.openicpsr.org/openicpsr/project/188121/version/V1/view
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资源简介：
Policymakers are increasingly concerned that incumbent acquisitions of small or young firms may slow down rather than speed up innovation, but it is difficult to identify which firms are related in the fast-changing space of technological innovation. This paper proposes a new, data-driven method to classify patent data into tech-business zones on a probabilistic basis, using patent assignee information. After combining M&A data from S&P Global Market Intelligence with PatentsView data from the US Patent and Trademark Office, we discuss how the zone classification can aid merger reviews and other lines of research.
提供机构：
Illinois Institute of Technology; University of Maryland & NBER; Boston University; University of Maryland
创建时间：
2023-01-01
