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Pronósticos directos de la inflación colombiana

Author

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  • Eliana González Molano
  • Luis Fernando Melo Velnadia
  • Anderson Grajales Olarte

Abstract

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.

Suggested Citation

  • Eliana González Molano & Luis Fernando Melo Velnadia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 4247, Banco de la Republica.
    • Handle: RePEc:col:000094:004247
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    References listed on IDEAS

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    Cited by:

    1. Paulo Mauricio Sánchez Beltrán & Luis Fernando Melo Velandia, 2013. "Combinación de brechas del producto colombiano," Borradores de Economia 10973, Banco de la Republica.

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    More about this item

    Keywords

    Pronósticos directos; pronósticos iterativos; mínimos cuadrados flexibles.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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