IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Linear Estimation Under Superpopulation Models: Somo Results On Robustness

  • CASAS SÁNCHEZ, J.M.

    (Universidad de Alcalá de Henares)

  • GUIJARRO GARVI, M

    (Universidad de Cantabria)

Registered author(s):

    The present article examines the linear estimation of a finite population mean, under a regression superpopulation model with unknown parameters and correlated residuals. Asymptotic design unbiasedness and weak robustness are desirable properties of the estimators when the model is misspecified. In this sense, two procedures of choosing among weakly robust and asymptotically design ubiased linear estimators, are suggested. Este trabajo examina la estimación lineal de la media en una población finita, desde el punto de vista de los modelos de superpoblación con parámetros desconocidos y coeficiente de correlación no nulo. La insesgadez asintótica según el diseño de muestreo y la robusted débil son propiedades deseables del estimador cuando se cometen errores en la especificación del modelo. En este sentido, se presentan dos procedimientos de selección entre estimadores asintóticamente insesgados respecto al diseño y débilmente robustos.

    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.revista-eea.net
    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 Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

    Volume (Year): 14 (2000)
    Issue (Month): (Abril)
    Pages: 37-46

    as
    in new window

    Handle: RePEc:lrk:eeaart:14_1_8
    Contact details of provider: Postal: Beatriz Rodríguez Prado. Facultad de CC.EE. y EE. Avda. Valle del Esgueva. Valladolid 47011 SPAIN
    Phone: (34) 983 423320
    Fax: (34) 983 184568
    Web page: http://www.revista-eea.net
    More information through EDIRC

    Order Information: Web: http://www.revista-eea.net Email:


    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:lrk:eeaart:14_1_8. 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: (Beatriz Rodríguez Prado)

    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.