IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Der Einsatz von Missing Data Techniken in der Arbeitsmarktforschung des IAB

  • Rässler, Susanne

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

Registered author(s):

    "Der Beitrag gibt einen Überblick über aktuelle Forschungsprojekte des Instituts für Arbeitsmarkt- und Berufsforschung (IAB), die sich alle auf unterschiedliche Weise mit der Behebung von Problemen mit Missing Data befassen. Hierzu gehören einerseits Projekte, die Stichproben verwenden wie das IAB-Betriebspanel, die IAB-Beschäftigtenstichprobe oder die Erhebung der offenen Stellen, die entweder wie alle Stichprobenerhebungen durch Antwortausfälle beeinträchtigt sind oder aber zensierte Beobachtungen aufweisen. Auf der anderen Seite zählen hierzu Forschungsprojekte, die versuchen, unterschiedliche Datengrundlagen vereinbar zu machen, die auf verschiedenen regionalen oder klassifikatorischen Abgrenzungen beruhen. Außerdem wird das Projekt TrEffeR des IAB und der Bundesagentur für Arbeit (BA) vorgestellt, das der oft ausgesprochenen Forderung gerecht wird, die Maßnahmen der aktiven Arbeitsmarktpolitik auf breiter Basis zu evaluieren und diese Erkenntnisse für das operative Geschäft der BA nutzbar macht." (Autorenreferat, IAB-Doku)

    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/forschungsbericht/2006/fb1806.pdf
    Download Restriction: no

    Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series IAB-Forschungsbericht with number 200618.

    as
    in new window

    Length: 41 pages
    Date of creation: 26 Oct 2006
    Date of revision:
    Handle: RePEc:iab:iabfob:200618
    Contact details of provider: Postal: Regensburger Str. 104, D-90327 Nürnberg
    Phone: 0911/179-0
    Fax: 0911/179-3258
    Web page: http://www.iab.de/
    Email:


    More information through EDIRC

    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. Marco Caliendo & Reinhard Hujer, 2006. "The microeconometric estimation of treatment effects—An overview," AStA Advances in Statistical Analysis, Springer, vol. 90(1), pages 199-215, March.
    2. Dehejia, R.H. & Wahba, S., 1998. "Propensity Score Matching Methods for Non-Experimental Causal Studies," Discussion Papers 1998_02, Columbia University, Department of Economics.
    3. Kölling, Arnd & Rässler, Susanne, 2004. "Editing and multiply imputing German establishment panel data to estimate stochastic production frontier models," IAB Discussion Paper 200405, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Gartner, Hermann & Rässler, Susanne, 2005. "Analyzing the changing gender wage gap based on multiply imputed right censored wages," IAB Discussion Paper 200505, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Jensen, Uwe & Rässler, Susanne, 2005. "Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data," IAB Discussion Paper 200515, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
    7. Stephan, Gesine & Rässler, Susanne & Schewe, Torben, 2006. "Wirkungsanalyse in der Bundesagentur für Arbeit : Konzeption, Datenbasis und ausgewählte Befunde," IAB Discussion Paper 200607, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
    9. Susanne Rässler & Regina Riphahn, 2006. "Survey item nonresponse and its treatment," AStA Advances in Statistical Analysis, Springer, vol. 90(1), pages 217-232, March.
    Full references (including those not matched with items on IDEAS)

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

    When requesting a correction, please mention this item's handle: RePEc:iab:iabfob:200618. 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.