IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v224y2004i1-2p247-259.html
   My bibliography  Save this article

German Register Data for Regression Estimation in Survey Sampling – A Study on the German Microcensus Respecting for Data Protection / Stichproben-Regressionsschätzungen im deutschen Mikrozensus mit Registerdaten unter Berücksichtigung des Datenschutzes

Author

Listed:
  • Wiegert Rolf

    (Akad. Dir. a. D., Waldstraße 26, D-72116 Mössingen, Germany)

  • Münnich Ralf

    (Universität Tübingen, Wirtschaftswissenschaftliches Seminar, Abteilung Statistik, Ökonometrie und Unternehmensforschung, Mohlstraße 36, D-72074 Tübingen, Germany)

Abstract

Modern survey sampling methods generally deal with improving estimators with respect to available prior information. An increasingly important source of prior information is data from registers.In some countries, e.g. Canada, The Netherlands, and the Scandinavian countries, personal identification numbers in registers generally make it possible to improve estimation processes mainly due to the exact match of units between register and estimation variable. In many other countries, this exact matching of information is not possible, e.g. for legal reasons. In the German Microcensus, however, the variable unemployed refers to the register data of the Bundesanstalt fur Arbeit in Nuremberg which are not permitted to be matched to each other for legal reasons.This article deals with an improvement of estimators with respect to available auxiliary information within the survey to enable an appropriate use of aggregated register information. A Monte Carlo simulation study will allow for the comparison of the estimators with different information or matching levels. This will be achieved in a practical environment using the data of the German Microcensus which is a 1 % survey sample of the German population.The given example yields recommendations on applying the methodology to similar cases that are influenced by data protection in order to allow for improved estimates in practice.

Suggested Citation

  • Wiegert Rolf & Münnich Ralf, 2004. "German Register Data for Regression Estimation in Survey Sampling – A Study on the German Microcensus Respecting for Data Protection / Stichproben-Regressionsschätzungen im deutschen Mikrozensus mit R," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(1-2), pages 247-259, February.
  • Handle: RePEc:jns:jbstat:v:224:y:2004:i:1-2:p:247-259
    DOI: 10.1515/jbnst-2004-1-217
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2004-1-217
    Download Restriction: no

    File URL: https://libkey.io/10.1515/jbnst-2004-1-217?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:jns:jbstat:v:224:y:2004:i:1-2:p:247-259. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.