IDEAS home Printed from https://ideas.repec.org/p/iab/iabfda/202508(en).html
   My bibliography  Save this paper

Linked-Employer-Employee-Data of the IAB: LIAB Cross-Sectional Model (LIAB QM) 1993-2023

Author

Listed:
  • Ganzer, Andreas

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

  • Schmucker, Alexandra

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

  • Umkehrer, Matthias

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

  • Zimmermann, Florian

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

Abstract

"This data report describes the LIAB Cross-Sectional Model (LIAB QM) 1993 - 2023. This data report is structured as follows. In addition to the introduction, Section 1 contains information on data access as well as an outline of the data and volume structure. A description of the individual data sources can be found in Section 2. Data preparation and data quality are discussed in Sections 3 and 4, while the individual variables are described in Section 5." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Ganzer, Andreas & Schmucker, Alexandra & Umkehrer, Matthias & Zimmermann, Florian, 2025. "Linked-Employer-Employee-Data of the IAB: LIAB Cross-Sectional Model (LIAB QM) 1993-2023," FDZ-Datenreport. Documentation on Labour Market Data 202508 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabfda:202508(en)
    DOI: 10.5164/IAB.FDZD.2508.en.v1
    as

    Download full text from publisher

    File URL: https://doku.iab.de/fdz/reporte/2025/DR_08-25_EN.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5164/IAB.FDZD.2508.en.v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iab:iabfda:202508(en). See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IAB, Geschäftsbereich Informationsmanagement und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabfzde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.