IDEAS home Printed from https://ideas.repec.org/p/iab/iabfda/201906(en).html
   My bibliography  Save this paper

Linked Employer-Employee Data from the IAB: LIAB Cross-Sectional Model 2 (LIAB QM2) 1993-2017

Author

Listed:
  • Schmidtlein, Lisa

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

  • Seth, Stefan

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

  • Umkehrer, Matthias

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

Abstract

"The LIAB Cross-Sectional Model 2 (QM2) 9317 is one of the linked employer-employee datasets from the Institute for Employment Research (IAB) provided for research purposes by the Research Data Centre (FDZ) of the Federal Employment Agency (BA) at the IAB. It links information on establishments from the IAB Establishment Panel, an annual establishment survey, with information on individuals employed at those establishments from the process-generated data of the BA. This data report focuses on the description of data on individuals in the LIAB QM2 9317." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Schmidtlein, Lisa & Seth, Stefan & Umkehrer, Matthias, 2019. "Linked Employer-Employee Data from the IAB: LIAB Cross-Sectional Model 2 (LIAB QM2) 1993-2017," FDZ-Datenreport. Documentation on Labour Market Data 201906 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabfda:201906(en)
    DOI: 10.5164/IAB.FDZD.1906.en.v1
    as

    Download full text from publisher

    File URL: https://doi.org/10.5164/IAB.FDZD.1906.en.v1
    Download Restriction: no
    File URL: https://libkey.io/10.5164/IAB.FDZD.1906.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
    ---><---

    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:201906(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 Wissenschaftliche Fachinformation 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.