IDEAS home Printed from https://ideas.repec.org/p/col/000094/010859.html
   My bibliography  Save this paper

Metodología de perfiles coincidentes para determinar indicadores líderes y contemporáneos, estudio de caso

Author

Listed:
  • Wilmer Martínez

Abstract

En este documento se propone utilizar la metodología de perfiles coincidentes propuesta por Martínez (2010), con el fin de determinar si un conjunto de indicadores obtenidos de encuestas de opinión y otras fuentes son coincidentes o líderes de los indicadores económicos observables y, que puedan dar señales sobre su comportamiento presente y futuro. En una aplicación para encuestas de opinión empresarial de Fedesarrollo, se encontraron preguntas que son coincidentes al PIB y para alguno de sus componentes, incluso se evidencia liderazgo de hasta cuatro trimestres. La aplicación fue desarrollada en el programa estadístico R.

Suggested Citation

  • Wilmer Martínez, 2013. "Metodología de perfiles coincidentes para determinar indicadores líderes y contemporáneos, estudio de caso," Borradores de Economia 10859, Banco de la Republica.
    • Handle: RePEc:col:000094:010859
    as

    Download full text from publisher

    File URL: http://www.banrep.gov.co/docum/ftp/be_771.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Perfil coincidente; Bry Boschan; indicadores coincidentes y líderes.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:col:000094:010859. 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: Clorith Angelica Bahos Olivera (email available below). General contact details of provider: .

    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.