IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Approaches for event history analysis based on complex longitudinal survey data

Listed author(s):
  • Marjo Pyy-Martikainen


Registered author(s):

    A researcher using complex longitudinal survey data for event history analysis has to make several choices that affect the analysis results. These choices include the following: whether a design-based or a model-based approach for the analysis is taken, which subset of data to use and, if a design-based approach is chosen, which weights to use. We discuss different choices and illustrate their effects using longitudinal register data linked at person-level with the Finnish subset of the European Community Household Panel data. The use of register data enables us to construct an event history data set without nonresponse and attrition. Design-based estimates from these data are used as benchmarks against design-based and model-based estimates from subsets of data usually available for a survey data analyst. Our illustration suggests that the often recommended way to use panel data for longitudinal analyses, data from total respondents and weights from the last wave analysed may not be the best way to go. Instead, using all available data and weights from the first survey wave appears to be a safe choice for longitudinal analyses based on multipurpose survey data. Copyright Springer-Verlag Berlin Heidelberg 2013

    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:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Springer & German Statistical Society in its journal AStA Advances in Statistical Analysis.

    Volume (Year): 97 (2013)
    Issue (Month): 3 (July)
    Pages: 297-315

    in new window

    Handle: RePEc:spr:alstar:v:97:y:2013:i:3:p:297-315
    DOI: 10.1007/s10182-012-0205-6
    Contact details of provider: Web page:

    Web page:

    Order Information: Web:

    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.:

    in new window

    1. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    3. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
    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:spr:alstar:v:97:y:2013:i:3:p:297-315. 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: (Sonal Shukla)

    or (Rebekah McClure)

    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.