Evaluación asimétrica de una red neuronal: aplicación al caso de la inflación en Colombia
The objective of the present work is to explore the non-linear relationship between money and inflation in Colombia through an artificial neural network using monthly information for the variation of the consumer price index and the monetary aggregate M3 since January 1982 through February 2005. Artificial neural networks turn up as an excellent alternative for monetary authorities to count on the best models to forecast inflation and guide their policy decisions. This article incorporates some innovations in money and inflation modeling that allow to generate more reliable forecasts given that the model approximates reality with greater accuracy
Volume (Year): (2006)
Issue (Month): 65 (Julio-Diciembre)
|Contact details of provider:|| Web page: http://economia.udea.edu.co|
More information through EDIRC
|Order Information:|| Postal: Lecturas de Economía, Departamento de Economía, Calle 67, 53-108, Medellin 050010, Colombia.|
When requesting a correction, please mention this item's handle: RePEc:lde:journl:y:2006:i:65:p:73-116. 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: (Carlos Andrés Vasco Correa)
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.