IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

La Inflación En Colombia: Una Aproximación Desde Las Redes Neuronales

  • MARTHA MISAS ARANGO

    ()

  • ENRIQUE LÓPEZ ENCISO
  • PABLO QUERUBÍN

Este documento presenta un modelo de estimación de la inflación en Colombia con base en la utilización de un modelo de la red neuronal artificial (ANN). La prueba de no-linealidad de la relación entre el dinero y la inflación, al igual que diferentes argumentos teóricos mencionados en el trabajo, muestra la importancia de modelar la inflación con técnicas no lineales como las redes neuronales.

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: http://www.banrep.gov.co/docum/ensayos/pdf/espe_04142-3.pdf
Download Restriction: no

Article provided by BANCO DE LA REPÚBLICA - ESPE in its journal ENSAYOS SOBRE POLÍTICA ECONÓMICA.

Volume (Year): (2002)
Issue (Month): ()
Pages:

as
in new window

Handle: RePEc:col:000107:005350
Contact details of provider:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Lütkepohl, Helmut & Teräsvirta, Timo & Wolters, Jürgen, 1995. "Investigating Stability and Linearity of a German M1 Money Demand Function," SSE/EFI Working Paper Series in Economics and Finance 64, Stockholm School of Economics.
  2. Gerlach, Stefan & Svensson, Lars E. O., 2003. "Money and inflation in the euro area: A case for monetary indicators?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1649-1672, November.
  3. A. M. Gazely & J. M. Binner, 2000. "The application of neural networks to the Divisia index debate: evidence from three countries," Applied Economics, Taylor & Francis Journals, vol. 32(12), pages 1607-1615.
  4. Luis Eduardo Arango & Andrés González, 1998. "Some Evidence Of Smooth Transition Nonlinearity In Colombian Inflation," BORRADORES DE ECONOMIA 003515, BANCO DE LA REPÚBLICA.
  5. Swanson, Norman R & White, Halbert, 1995. "A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 265-75, July.
  6. Martha Misas & Enrique López & Luis Fernando Melo, . "La Inflación desde una Perspectiva Monetaria: Un Modelo P* para Colombia," Borradores de Economia 133, Banco de la Republica de Colombia.
  7. Enrique López & Martha Misas, . "Un Exámen Empírico de la Curva de Phillips en Colombia," Borradores de Economia 117, Banco de la Republica de Colombia.
  8. Svensson, Lars E. O., 1999. "Monetary policy issues for the Eurosystem," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 51(1), pages 79-136, December.
  9. Ball, L. & Mankiw, N.G., 1992. "Asymmetric Price Adjustment and Economic Fluctuations," Harvard Institute of Economic Research Working Papers 1602, Harvard - Institute of Economic Research.
  10. Raimundo Soto, . "Nonlinearities in the Demand for money: A Neural Network Approach," ILADES-Georgetown University Working Papers inv107, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
  11. Jean-François Fillion & André Léonard, 1997. "La courbe de Phillips au Canada : un examen de quelques hypothèses," Working Papers 97-3, Bank of Canada.
  12. repec:cup:cbooks:9780521770415 is not listed on IDEAS
  13. Nicoletti-Altimari, Sergio, 2001. "Does money lead inflation in the euro area?," Working Paper Series 0063, European Central Bank.
  14. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
  15. Tkacz, Greg & Hu, Sarah, 1999. "Forecasting GDP Growth Using Artificial Neural Networks," Working Papers 99-3, Bank of Canada.
  16. Nikola Gradojevic & Jing Yang, 2000. "The Application of Artificial Neural Networks to Exchange Rate Forecasting: The Role of Market Microstructure Variables," Working Papers 00-23, Bank of Canada.
  17. Tkacz, Greg, 2000. "Non-Parametric and Neural Network Models of Inflation Changes," Working Papers 00-7, Bank of Canada.
  18. Cover, James Peery, 1992. "Asymmetric Effects of Positive and Negative Money-Supply Shocks," The Quarterly Journal of Economics, MIT Press, vol. 107(4), pages 1261-82, November.
  19. Jeffrey J. Hallman & Richard D. Porter & David H. Small, 1989. "M2 per unit of potential GNP as an anchor for the price level," Staff Studies 157, Board of Governors of the Federal Reserve System (U.S.).
  20. Chung-Ming Kuan, 2006. "Artificial Neural Networks," IEAS Working Paper : academic research 06-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  21. Donald P. Morgan, 1993. "Asymmetric effects of monetary policy," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 21-33.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:col:000107:005350. 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: (Espe)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.