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Productivity gains from migration: Evidence from inventors
Institution:1. Brandeis University, United States of America;2. Pace University, United States of America;3. Motu Economic and Public Policy Research, New Zealand;4. Queensland University of Technology, Australia;1. Department of Agricultural Economics, Statistic and Business Management, Technical University of Madrid, Spain;2. Department of Business Administration, IS-FOOD Research Institute, Public University of Navarre, Spain;3. Kent Business School, University of Kent, United Kingdom;1. Henley Business School at the University of Reading, United Kingdom;2. Strathclyde Business School, United Kingdom, and “Alfred D. Chandler Jr. International Visiting Scholar in Business History”, Harvard Business School, Boston MA USA.;1. Foundation Professor of Public Policy and Management, School of Public Affairs, Global Center for Technology Transfer, Arizona State University, United States of America;2. Professor of Open & Collaborative Innovation, Eindhoven University of Technology, Netherlands;3. Innovation & Entrepreneurship, University of Copenhagen, Denmark;4. University of California, Berkeley, United States of America;5. Graham Professor of Strategy and Organization, Alberta School of Business, University of Alberta, Canada;6. Distinguished Chair Professor, School of Public Policy and Management, Schwarzman College, Tsinghua University, China;1. INGENIO (CSIC-Universitat Politecnica de Valencia), Spain;2. Department of Economics, Society, Politics, University of Urbino ''Carlo Bo'', Italy; SEEDS, Italy; FEEM, Italy;3. European Commission, Joint Research Centre (JRC), Seville, Spain;4. Department of Economics, Management and Quantitative Methods (DEMM), University of Milan, Italy;5. University of Milan, Department of Environmental Science and Policy, Italy;6. Fondazione Eni Enrico Mattei (FEEM), Italy;7. OFCE Sciences-Po, France;1. INGENIO (CSIC - Universitat Politecnica de Valencia);2. Roma Tre University;3. University of Urbino
Abstract:This paper studies the relationship between migration and the productivity of high-skilled workers, as captured by inventors of international patent applications. Using machine learning techniques to uniquely identify inventors across patents, we are able to track the migration patterns of nearly one million individual inventors across countries. Migrant inventors account for more than nine percent of inventors in our sample. The econometric analysis seeks to explain the recurring finding in the literature that migrant inventors are more productive than non-migrant inventors. We find evidence that migrant inventors become about twenty-three percent more productive after having migrated. The disambiguated inventor data are openly available.
Keywords:Inventor  Productivity  Skilled migration
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