The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data
Year of publication: |
2019
|
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Authors: | Heinisch, Dominik ; Koenig, Johannes ; Otto, Anne |
Publisher: |
Nürnberg : Institut für Arbeitsmarkt- und Berufsforschung (IAB) |
Subject: | PhD | doctorate recipients | labour market trajectories | administrative data | record linkage | machine learning | supervised learning |
Series: | IAB-Discussion Paper ; 13/2019 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1667663720 [GVK] hdl:10419/204860 [Handle] RePEc:iab:iabdpa:201913 [RePEc] |
Classification: | C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; E24 - Employment; Unemployment; Wages ; I20 - Education. General |
Source: |
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Heinisch, Dominik, (2019)
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Magnitude, structure and dynamics of chronic unemployment in Denmark, Finland and Germany
Aho, Simo, (2019)
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Magnitude, structure and dynamics of chronic unemployment in Denmark, Finland and Germany
Aho, Simo, (2019)
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Heinisch, Dominik, (2019)
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Heinisch, Dominik, (2015)
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Heinisch, Dominik, (2015)
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