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

Pellegrino, G., De Rassenfosee, G., Penner, O., Piguet, E., Productivity gains from migration: Evidence from inventors, <<RESEARCH POLICY>>, 2023; (52): 104-631 [https://hdl.handle.net/10807/227510]

Productivity gains from migration: Evidence from inventors

Pellegrino, Gabriele
Primo
;
2023

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
2023
Inglese
Pellegrino, G., De Rassenfosee, G., Penner, O., Piguet, E., Productivity gains from migration: Evidence from inventors, <<RESEARCH POLICY>>, 2023; (52): 104-631 [https://hdl.handle.net/10807/227510]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/227510
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