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Das Ausbildungspanel Saarland : Dokumentation der Datenaufbereitung

Author

Listed:
  • Wydra-Somaggio, Gabriele

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"Das Ausbildungspanel Saarland ist ein neuartiger Datensatz, der Informationen aus den Kammern und Informationen der Prozessdaten der Bundesagentur für Arbeit zusammenführt. Die Kammern liefern detaillierte Informationen zum Ausbildungsverlauf von Auszubildenden einer dualen Berufsausbildung, wie beispielsweise zum Zeitpunkt des (vorzeitigen) Endes der Ausbildung oder zu den Noten der Abschlussprüfungen der dualen Berufsausbildung. Die Informationen zum Erwerbsverlauf liefern die Integrierte Erwerbsbiografien (IEB) des Instituts für Arbeitsmarkt- und Berufsforschung (IAB), die aus Prozessdaten der Bundesagentur für Arbeit gewonnen werden. Mit diesen zusätzlichen Informationen zum Ausbildungsverlauf können Analysen zu dessen Auswirkungen auf den Erwerbseinstieg und den weiteren Erwerbsverlauf durchgeführt werden. Da das Ausbildungspanel Saarland die Kammerdaten der Industrie- und Handelskammer Saarland sowie der Handwerkskammer Saarland als Datenquellen verwendet, liegt mit diesem Datensatz eine Vollerhebung von Auszubildenden eines Bundeslandes zwischen 1998 und 2002 vor, die sich im Ausbildungsbereich 'Industrie und Handel' oder 'Handwerk' ausbilden ließen." (Autorenreferat, IAB-Doku)

Suggested Citation

  • Wydra-Somaggio, Gabriele, 2015. "Das Ausbildungspanel Saarland : Dokumentation der Datenaufbereitung," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Rheinland-Pfalz-Saarland 201503, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabrrp:201503
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    File URL: https://doku.iab.de/regional/RPS/2015/regional_rps_0315.pdf
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    References listed on IDEAS

    as
    1. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    2. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    3. repec:iab:iabfme:200503(en is not listed on IDEAS
    4. Oberschachtsiek, Dirk & Scioch, Patrycja & Seysen, Christian & Heining, Jörg, 2009. "Stichprobe der Integrierten Erwerbsbiografien IEBS : Handbuch für die IEBS in der Fassung 2008," FDZ Datenreport. Documentation on Labour Market Data 200903_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    Cited by:

    1. Heinisch, Dominik & Koenig, Johannes & Otto, Anne, 2019. "The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data," IAB-Discussion Paper 201913, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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