IDEAS home Printed from https://ideas.repec.org/p/col/000118/003394.html
   My bibliography  Save this paper

Pronósticos de producción agrícola

Author

Listed:
  • Constanza MARTINEZ VENTURA

Abstract

En el presente documento se plantean ejercicios econométricos para obtener pronósticos de producción en el corto plazo. La idea central es presentar aplicaciones del análisis de series de tiempo a las series de producción de arroz, palma africana y café. Durante 2005 estas tres actividades representaron, en conjunto, 26.6% de la producción agrícola total. La participación global de estas actividades se explica en 7.8% por la producción de arroz, en 15.7% por la de café y en 3.0% por la de palma africana.

Suggested Citation

  • Constanza MARTINEZ VENTURA, 2006. "Pronósticos de producción agrícola," Archivos de Economía 3394, Departamento Nacional de Planeación.
  • Handle: RePEc:col:000118:003394
    as

    Download full text from publisher

    File URL: https://colaboracion.dnp.gov.co/CDT/Estudios%20Econmicos/305.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Pronósticos de producción; series de tiempo; producción agrícola colombina;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:000118:003394. 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: Carlos Fernando Rincon Rojas (email available below). General contact details of provider: https://edirc.repec.org/data/dnpgvco.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.