Template-type: ReDIF-Paper 1.0
Author-Name: Gabriele Pellegrino
Author-Workplace-Name: Università Cattolica del Sacro Cuore
Author-Name: Orion Penner
Author-Workplace-Name: Ecole polytechnique federale de Lausanne
Author-Name: Etienne Piguet
Author-Workplace-Name: University of Neuchatel
Author-Email: 
Author-Homepage: 
Author-Name: Gaetan de Rassenfosse
Author-Workplace-Name: Ecole polytechnique federale de Lausanne
Author-Email: 
Author-Homepage: 
Title: Productivity gains from migration: Evidence from inventors
Abstract: This paper studies the relationship between migration and the productivity of high-skilled workers, as captured by inventors listed in patent applications. Using machine learning techniques to identify inventors across patents uniquely, we are able to track the worldwide migration patterns of nearly one million individual inventors. Migrant inventors account for more than ten percent of inventors worldwide. The econometric analysis seeks to explain the recurring finding in the literature that migrant inventors are more productive than non-migrant inventors. We find that migrant inventors become about thirty-percent more productive after having migrated. The disambiguated inventor data are openly available.
Classification-JEL: F22; J61; O30
Keywords: inventor; productivity; skilled migration
Length: 37 pages
Creation-Date: 2023-01
File-URL:  https://cdm-repec.epfl.ch/iip-wpaper/WP20.pdf
File-Format: application/pdf
Handle:  RePEc:iip:wpaper:20