IDEAS home Printed from https://ideas.repec.org/p/crs/wpaper/98-22.html
   My bibliography  Save this paper

Transition Models with Measurement Errors

Author

Listed:
  • Thierry Magnac

    (Crest)

  • Michael Visser

    (Crest)

Abstract

In this paper, we estimate a transition model that allows for measurement errors in the data. The measurement errors arise because the survey design is partly retrospective, so that individuals sometimes forget or misclassify their past labor market transitions. The observed data are adjusted for errors via a measurement-error mechanism. The parameters of the distribution of the true data, and those of the measurement-error mechanism are estimated by a two-stage method. The results, based on the 1990-1992 French labor force survey, show that neglecting measurement errors leads to an underestimation of the average durations spent in labor market states. The estimates of some important transition probabilities between states are also biased by the measurement errors. © 1999 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Thierry Magnac & Michael Visser, 1998. "Transition Models with Measurement Errors," Working Papers 98-22, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:98-22
    as

    Download full text from publisher

    File URL: http://crest.science/RePEc/wpstorage/1998-22.pdf
    File Function: Crest working paper version
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Statistics

    Access and download statistics

    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:crs:wpaper:98-22. 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: Secretariat General (email available below). General contact details of provider: https://edirc.repec.org/data/crestfr.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.