IDEAS home Printed from https://ideas.repec.org/p/edg/anecon/0006.html
   My bibliography  Save this paper

Reglas de clasificación discriminante: aplicación a la vivienda

Author

Listed:
  • Raquel Arévalo Tomé

    (Universidade de Vigo)

Abstract

In the Encuesta de Presupuestos Familiares, we find data for many households missing any information about the legal status of their housing. In this paper, we use the Logistic Regression Analysis method to define four rules allowing to estimate the classification: "free price" and "projected price". Two types of error may arise: i) type-I error, free allocation when it is protected, and ii) type-II error, for the opposite case. While the classification rule that directly arises from the logistic estimation is based on minimizing the sum of both errors, our rules follow a criterion that allows to apply a stronger penalty against the type-I error. The difference between the rules relies on the trade-off between the number of classified habitations and the associated error. The use of this technique allows to enlarge the information available in the Encuesta de Presupuestos Familiares in order to estimate either the evolution or the determinants of prices according to this database.

Suggested Citation

  • Raquel Arévalo Tomé, 1999. "Reglas de clasificación discriminante: aplicación a la vivienda," Documentos de trabajo - Analise Economica 0006, IDEGA - Instituto Universitario de Estudios e Desenvolvemento de Galicia.
    • Handle: RePEc:edg:anecon:0006
    as

    Download full text from publisher

    File URL: http://docs.game-idega.com/documentos_de_traballo/analise_economica/analise_economica_6.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Análisis logístico; Reglas de Clasificación Discriminante; Régimen de Tenencia; Encuesta de Presupuestos Familiares;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:edg:anecon:0006. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuel Fernandez Grela (email available below). General contact details of provider: https://edirc.repec.org/data/egusces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.