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

Estimaciones para pequeñas áreas: un enfoque bayesiano al problema de la distribución de una magnitud económica

Listed author(s):


    (Facultad de Ciencias Económicas. Departamento de Economía Aplicada (Estadística y Econometría). Universidad de Valladolid.)



    (Facultad de Ciencias Económicas. Departamento de Economía Aplicada (Estadística y Econometría). Universidad de Valladolid.)

Registered author(s):

    En este trabajo se desarrolla un método para distribuir un agregado económico en áreas geográficas menores. Las estimaciones de los valores desagregados se realizan mediante procedimientos bayesianos, con distribuciones a priori aproximadamente no informativas para ciertos parámetros o de Laplace para dichos valores. La implementación de dichas estimaciones se realiza mediante muestreo de Gibbs. El procedimiento se utiliza para resolver problemas de congruencia en estimaciones de macromagnitudes derivadas de modelos econométricos regionales. Se sugiere la posibilidad de aplicar el procedimiento para problemas temporales, relacionados con trimestralización de magnitudes económicas This paper provides a method to distribute an economic aggregate among smaller areas, using indicators. It makes use of Bayesian tools, implemented by Gibbs sampling in order to obtain the estimates. The method, with minor changes, is applied to adjust predictions provided by individual (single country) econometric models, with the overall prediction arising from an aggregate model. Authors also explore the adequacy of their method in solving problems of time series interpolation or temporal dissaggregation.

    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 Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

    Volume (Year): 20 (2002)
    Issue (Month): (Abril)
    Pages: 217-240

    in new window

    Handle: RePEc:lrk:eeaart:20_1_4
    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:

    More information through EDIRC

    Order Information: Web: Email:

    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. Zellner, Arnold & Hong, Chansik & Min, Chung-ki, 1991. "Forecasting turning points in international output growth rates using Bayesian exponentially weighted autoregression, time-varying parameter, and pooling techniques," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 275-304.
    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:lrk:eeaart:20_1_4. 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.