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  1. O emprego e a sobre-educação de doutores no setor privado brasileiro no período 2010-2021
    Published: novembro de 2024
    Publisher:  Instituto de Pesquisa Econômica Aplicada, Brasília

    This article aims to investigate the evolution of the employment of Ph.D. holders in the Brazilian private sector between 2010 and 2021. The study is based on microdata on formal employment from the Annual Social Information Report (Rais), and it... more

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    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 194
    No inter-library loan

     

    This article aims to investigate the evolution of the employment of Ph.D. holders in the Brazilian private sector between 2010 and 2021. The study is based on microdata on formal employment from the Annual Social Information Report (Rais), and it presents descriptive statistics regarding employment, remuneration, and over-education of PhDs. Over-education is measured using the realized matches method and, additionally, the job analysis approach. The results suggest that, throughout the period of analysis, there was an increase in the number of Ph.D.s employed and a reduction in the average compensation. Furthermore, there was an increase in the rate of overeducation among professionals with a doctorate degree, and the average monthly compensation and hourly wages in 2021 were higher for those in occupations that matched their educational level.

     

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    Source: Union catalogues
    Language: Portuguese
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/306800
    Series: Texto para discussão / Ipea ; 3054
    Subjects: compensation; educational alignment; overeducation; PhD
    Scope: 1 Online-Ressource (circa 39 Seiten), Illustrationen
  2. Literature Review Versus Review of Literature
    A Comprehensive Guide to Your PhD Success
    Published: 2021
    Publisher:  LAP LAMBERT Academic Publishing, Saarbrücken

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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9786203305920; 6203305928
    Other identifier:
    9786203305920
    Edition: 1. Auflage
    Other subjects: (Produktform)Electronic book text; literature review; PhD; knowledge; comprehensive guide; (BISAC region code)2.4.6.0.0.0.0; (VLB-WN)1560: Sprachwissenschaft, Literaturwissenschaft
    Scope: Online-Ressource, 136 Seiten
    Notes:

    Vom Verlag als Druckwerk on demand und/oder als E-Book angeboten

  3. Coronavirus Crisis
    Information and Help in the 2020 Pandemic - what Everyone should know
    Published: 2020
    Publisher:  AtheneMedia-Verlag, Dinslaken

  4. The IAB-INCHER project of earned doctorates (IIPED)
    a supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data
    Published: 23 May 2019
    Publisher:  IAB, Institute for Employment Research, Nuremberg

    Only scarce information is available on doctorate recipients' career outcomes in Germany (BuWiN 2013). With the current information base, graduate students cannot make an informed decision whether to start a doctorate (Benderly 2018, Blank 2017).... more

    Access:
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 98
    No inter-library loan

     

    Only scarce information is available on doctorate recipients' career outcomes in Germany (BuWiN 2013). With the current information base, graduate students cannot make an informed decision whether to start a doctorate (Benderly 2018, Blank 2017). Administrative labour market data could provide the necessary information, is however incomplete in this respect. In this paper, we describe the record linkage of two datasets to close this information gap: data on doctorate recipients collected in the catalogue of the German National Library (DNB), and the German labour market biographies (IEB) from the German Institute of Employment Research. We use a machine learning based methodology, which 1) improves the record linkage of datasets without unique identifiers, and 2) evaluates the quality of the record linkage. The machine learning algorithms are trained on a synthetic training and evaluation dataset. In an exemplary analysis we compare the employment status of female and male doctorate recipients in Germany. Es gibt bislang nur wenige wissenschaftliche Studien, welche das Karriereauskommen von Promovierten in Deutschland untersuchen (BuWiN 2013). Daher bildet die empirische Evidenz zum jetzigen Stand für Absolventen keine hinreichende Informationsgrundlage, um eine wohlüberlegte Entscheidung für oder gegen eine Promotion zu treffen (Benderly 2018; Blank 2017). Administrative Daten zu individuellen Karriereauskommen könnten diese Informationslücke schließen. Jedoch sind die derzeitig verfügbaren Datenquellen in dieser Hinsicht unvollständig. In diesem Beitrag verknüpfen wir Daten zu Promovierten die im Katalog der Deutschen Nationalbibliothek (DNB) gesammelt wurden, mit den Integrierten Erwerbsbiografien (IEB) des Instituts für Arbeitsmarkt- und Berufsforschung (IAB). Wir verwenden Methoden des maschinellen Lernens, die es erlauben 1) Datensätze ohne eindeutige Identifier zu verknüpfen und 2) die Qualität des verknüpften Datensatzes zu bewerten. Die Algorithmen werden auf einem synthetischen Trainings- und Testdatensatz trainiert. In einer beispielhaften Analyse werden die Karriereauskommen von weiblichen und männlichen Promovierten miteinander verglichen.

     

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    Content information
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    Volltext (kostenfrei)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/204860
    Series: IAB-discussion paper ; 2019, 13
    Subjects: PhD; doctorate recipients; labour market trajectories; administrative data; record linkage; machine learning; supervised learning
    Scope: 1 Online-Ressource (circa 31 Seiten), Illustrationen