Advanced Search
MyIDEAS: Login to save this paper or follow this series

Cuantificación de Encuestas Ordinales y Pruebas de Racionalidad: Una aplicación a la Encuesta Mensual de Expectativas Económicas


Author Info

  • Héctor Zárate


  • Katherine Sánchez


  • Margarita Marín


Registered author(s):


    En este artículo se cuantifican las respuestas cualitativas de la Encuesta Mensual de Expectativas Económicas (EEME)" a través de métodos de conversión tradicionales como la estadística del balance de Bachellier (1986), el método probabilístico propuesto por Carlson-Parkin (1975) y la propuesta de Análisis Cuantitativo Regional (ACR-2003). Para las respuestas analizadas de esta encuesta se encontró que el método ACR registra el mejor desempeño teniendo en cuenta su mejor capacidad predictiva. Esta cuantificación es posteriormente utilizada en pruebas de racionalidad de expectativas que requieren la verificación de cuatro hipótesis fundamentales: insesgamiento, correlación serial, eficiencia y ortogonalidad. "

    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:
    Download Restriction: no

    Bibliographic Info

    Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 008327.

    as in new window
    Length: 54
    Date of creation: 10 Apr 2011
    Date of revision:
    Handle: RePEc:col:000094:008327

    Contact details of provider:

    Related research

    Keywords: Encuestas de expectativas; Métodos de cuantificación; Expectativas Racionales; Mínimos cuadrados generalizados.;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:


    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.


    Access and download statistics


    When requesting a correction, please mention this item's handle: RePEc:col:000094:008327. 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: (Norma Judith Paternina).

    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.