IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Linked-Employer-Employee Data from the IAB : LIAB-Mover-Model 1993-2008 (LIAB MM 9308)

Author Info

Listed author(s):
  • Heining, Jörg

    ()

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

  • Jacobebbinghaus, Peter

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

  • Scholz, Theresa

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

  • Seth, Stefan

    ()

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

Registered author(s):

    Abstract

    "This data report describes the LIAB-Mover-Model 1993-2008 of the Linked-Employer-Employee-Data from the IAB (LIAB MM 9308). The Linked-Employer-Employee-Data from the IAB (LIAB) contain both establishment data from the annual waves of the IAB Establishment Panel and information on individuals from the process-generated data of the BA. The LIAB data are generated by linking these two data sources. The LIAB-Mover-Model was constructed to provide as much information as possible on individuals moving between establishments of the IAB Establishment Panel in order to allow the modeling of unobserved heterogeneity on the establishment and individual level." (Author's abstract, IAB-Doku) ((en)) Additional Information german version further information about mover-model

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://doku.iab.de/fdz/reporte/2012/DR_01-12_EN.pdf
    Download Restriction: no

    Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Datenreport. Documentation on Labour Market Data with number 201201_en.

    as
    in new window

    Length: 76 pages
    Date of creation: 21 Mar 2012
    Handle: RePEc:iab:iabfda:201201_en
    Contact details of provider: Postal:
    Regensburger Str. 104, D-90327 Nürnberg

    Phone: 0911/179-1752
    Fax: 0911/179-1728
    Web page: http://fdz.iab.de/
    Email:


    More information through EDIRC

    Keywords: IAB-Linked-Employer-Employee-Datensatz; zwischenbetriebliche Mobilität; Datenanonymisierung; Datenaufbereitung; Datensatzbeschreibung; Datenqualität;

    This paper has been announced in the following NEP Reports:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. Eberle, Johanna & Jacobebbinghaus, Peter & Ludsteck, Johannes & Witter, Julia, 2011. "Generation of time-consistent industry codes in the face of classification changes : Simple heuristic based on the Establishment History Panel (BHP)," FDZ Methodenreport 201105_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    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.
    Full references (including those not matched with items on IDEAS)

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    as
    in new window


    Cited by:

    1. Benjamin Lochner & Bastian Schulz, 2016. "Labor Market Sorting in Germany," CESifo Working Paper Series 6066, CESifo Group Munich.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Access and download statistics

    When requesting a correction, please mention this item's handle: RePEc:iab:iabfda:201201_en. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IAB, Geschäftsbereich Dokumentation und Bibliothek)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.