Abstract
This paper studies the relationship between migration and the productivity of high-skilled workers, as captured\r\nby inventors of international patent applications. Using machine learning techniques to uniquely identify\r\ninventors across patents, we are able to track the migration patterns of nearly one million individual inventors\r\nacross countries. Migrant inventors account for more than nine percent of inventors in our sample. The\r\neconometric analysis seeks to explain the recurring finding in the literature that migrant inventors are more\r\nproductive than non-migrant inventors. We find evidence that migrant inventors become about twenty-three\r\npercent more productive after having migrated. The disambiguated inventor data are openly available
| Original language | English |
|---|---|
| Pages (from-to) | 104-631 |
| Number of pages | 528 |
| Journal | Research Policy |
| Volume | 52 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2023 |
All Science Journal Classification (ASJC) codes
- Strategy and Management
- Management Science and Operations Research
- Management of Technology and Innovation
Keywords
- Inventor Productivity
- Skilled migration
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