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Pronósticos directos de la inflación colombiana

  • Eliana González Molano

    ()

  • Luis Fernando Melo Velnadia

    ()

  • Anderson Grajales Olarte

    ()

En países como Colombia en donde se sigue una estrategia de inflación objetivo es fundamentalpara el Banco Central contar con buenos modelos para pronosticar la inflación. En estedocumento se comparan los pronósticos de inflación obtenidos a partir de un modelo de Curvade Phillips usando dos metodologías diferentes: pronósticos directos y pronósticos iterativos(tradicionales) para una muestra trimestral entre 1988 y 2007. Los pronósticos directos estánbasados en estimaciones OLS, mientras que los iterativos lo están en estimaciones tanto porOLS como por mínimos cuadrados flexibles. Los resultados encontrados muestran que alutilizar el mismo método de estimación, OLS, el error de pronóstico de la metodología directaes menor que el de la iterativa en el mediano plazo. Sin embargo, los pronósticos iterativosgenerados con la metodología de mínimos cuadrados flexibles superan a los directos - OLS.

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Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 004247.

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Length: 22
Date of creation: 17 Sep 2007
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Handle: RePEc:col:000094:004247
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  1. 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.
  2. Guillaume Chevillon, 2005. "Direct multi-step estimation and forecasting," Documents de Travail de l'OFCE 2005-10, Observatoire Francais des Conjonctures Economiques (OFCE).
  3. Weiss, Andrew A., 1991. "Multi-step estimation and forecasting in dynamic models," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 135-149.
  4. Ing, Ching-Kang, 2003. "Multistep Prediction In Autoregressive Processes," Econometric Theory, Cambridge University Press, vol. 19(02), pages 254-279, April.
  5. Martha Misas Arango & Enrique López Enciso & Pablo Querubín, 2002. "La Inflación En Colombia: Una Aproximación Desde Las Redes Neuronales," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE.
  6. Johnston, H N, 1974. "A Note on the Estimation and Prediction Inefficiency of "Dynamic" Estimators," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 251-55, February.
  7. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006. "A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
  8. Melisso Boschi & Alessandro Girardi, 2007. "Euro area inflation: long-run determinants and short-run dynamics," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 9-24.
  9. Chevillon, Guillaume & Hendry, David F., 2005. "Non-parametric direct multi-step estimation for forecasting economic processes," International Journal of Forecasting, Elsevier, vol. 21(2), pages 201-218.
  10. Luis Fernando Melo Velandia & Héctor M. Núñez Amortegui, 2004. "Combinación de pronósticos de la inflación en presencia de cambios estructurales," BORRADORES DE ECONOMIA 002153, BANCO DE LA REPÚBLICA.
  11. Schorfheide, Frank, 2005. "VAR forecasting under misspecification," Journal of Econometrics, Elsevier, vol. 128(1), pages 99-136, September.
  12. Luis Fernando Melo Velandia & Martha Alicia Misas Arango, 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a través de Mínimos Cuadrados Flexibles," BORRADORES DE ECONOMIA 003244, BANCO DE LA REPÚBLICA.
  13. Enrique López & Martha Misas, . "Un Exámen Empírico de la Curva de Phillips en Colombia," Borradores de Economia 117, Banco de la Republica de Colombia.
  14. Clements, Michael P. & Hendry, David F., 1996. "Multi-Step Estimation for Forecasting," The Warwick Economics Research Paper Series (TWERPS) 447, University of Warwick, Department of Economics.
  15. Kalaba, Robert E. & Tesfatsion, Leigh S., 1989. "Time-Varying Linear Regression Via Flexible Least Squares," Staff General Research Papers 11196, Iowa State University, Department of Economics.
  16. R. Bhansali, 1996. "Asymptotically efficient autoregressive model selection for multistep prediction," Annals of the Institute of Statistical Mathematics, Springer, vol. 48(3), pages 577-602, September.
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