IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v36y2001i3p467-499.html
   My bibliography  Save this article

Controlling for Seam Problems in Duration Model Estimates: With Application to the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey

Author

Listed:
  • Charles J. Romeo

Abstract

Inconsistencies in duration data at the "seams" between surveys make the problem of determining where one spell ends and the next begins impossible to resolve with certainty. In this paper I develop a statistical approach to partitioning data records with inconsistent duration data. The basis of this paper is a set of definitions as to what establishes consistent reporting at each seam. These definitions are derived from the questionnaire, and they enable me to quantify duration data inconsistencies as errors. The errors are then employed to generate probabilities over data record partitions. A duration model that uses these probabilities to control for seam problems is estimated for both the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey.

Suggested Citation

  • Charles J. Romeo, 2001. "Controlling for Seam Problems in Duration Model Estimates: With Application to the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 467-499.
  • Handle: RePEc:uwp:jhriss:v:36:y:2001:i:3:p:467-499
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/pdfplus/3069627
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. John C. Ham & Xianghong Li & Lara Shore-Sheppard, 2009. "Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women," NBER Working Papers 15151, National Bureau of Economic Research, Inc.
    2. Luis Ayala & Carolina Navarro & Mercedes Sastre, 2011. "Cross-country income mobility comparisons under panel attrition: the relevance of weighting schemes," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3495-3521.

    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:uwp:jhriss:v:36:y:2001:i:3:p:467-499. 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: the person in charge (email available below). General contact details of provider: http://jhr.uwpress.org/ .

    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.