Advanced Search
MyIDEAS: Login to save this article or follow this journal

Prediction of a Small Area Mean for an Infinite Population when the Variance Components Are Random

Contents:

Author Info

  • Stefan, Marius

    ()
    (Polytechnic University of Bucharest, Free University of Brussels)

Registered author(s):

    Abstract

    In this paper, we propose a new model with random variance components for estimating small area characteristics. Under the proposed model, we derive the empirical best linear unbiased estimator, an approximation to terms of order and an estimator whose bias is of order for its mean squared error, where m is the number of small areas in the population.

    Download Info

    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: http://www.ipe.ro/rjef/rjef3_09/rjef3_09_2.pdf
    Download Restriction: no

    Bibliographic Info

    Article provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.

    Volume (Year): 6 (2009)
    Issue (Month): 3 (September)
    Pages: 22-33

    as in new window
    Handle: RePEc:rjr:romjef:v:6:y:2009:i:3:p:22-33

    Contact details of provider:
    Postal: Casa Academiei, Calea 13, Septembrie nr.13, sector 5, Bucure┼čti 761172
    Phone: 004 021 3188148
    Fax: 004 021 3188148
    Email:
    Web page: http://www.ipe.ro/
    More information through EDIRC

    Related research

    Keywords: small areas; direct and indirect estimation; infinite population; empirical best linear unbiased predictor;

    Find related papers by JEL classification:

    References

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

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:rjr:romjef:v:6:y:2009:i:3:p:22-33. 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: (Corina Saman).

    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.