IDEAS home Printed from https://ideas.repec.org/p/iab/iabfme/201601(en).html
   My bibliography  Save this paper

Imputation of the working time information for the employment register data

Author

Listed:
  • Ludsteck, Johann

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

  • Thomsen, Ulrich

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

Abstract

"Due to changes in the data collection method in 2011, German Employment Register data temporarily exhibit an uncharacteristically high share of missing information (25 %) regarding the job activity profile (Tätigkeitsschlüssel). We assess the consequences of this on wage analyses and develop a simple model to impute the missings. To this aim, we compare the predictive power of Logit and linear probability models, classification trees and nonparametric probit models." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Ludsteck, Johann & Thomsen, Ulrich, 2016. "Imputation of the working time information for the employment register data," FDZ-Methodenreport 201601 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabfme:201601(en)
    as

    Download full text from publisher

    File URL: https://doku.iab.de/fdz/reporte/2016/MR_01-16_EN.pdf
    Download Restriction: no
    ---><---

    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:iabfme:201601(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.