IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Microbased Time Series Analysis: Comparing the technique of pooling time series and cross-sectional data with a microbased superpopulation approach

  • Cassel, Claes-M.


    (Dept. of Economic Statistics, Stockholm School of Economics)

Registered author(s):

    The purpose of this paper is to point out the similarities and differences between the traditional econometric approach used for analysing cross-sectional time series data and the microbased superpopulation approach. The superpopulation approach is applicable when a probability sample of units is actually drawn from a population of units and followed over time. When this situation is at hand the superpopulation approach offers a flexible way of dealing with the choice of estimation technique for analysing macrorelations. In the superpopulation approach the dummy variable technique is used for estimation conditional on the sample. Population parameters which are not identical for each unit in the population are estimated unconditionally using survey sampling principles. Questions regarding the efficiency of the estimators are discussed.

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Paper provided by Stockholm School of Economics in its series SSE/EFI Working Paper Series in Economics and Finance with number 42.

    in new window

    Length: 10 pages
    Date of creation: Nov 1994
    Date of revision:
    Handle: RePEc:hhs:hastef:0042
    Contact details of provider: Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
    Phone: +46-(0)8-736 90 00
    Fax: +46-(0)8-31 01 57
    Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    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:hhs:hastef:0042. 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: (Helena Lundin)

    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.