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Un Pronóstico No Paramétrico De La Inflación Colombiana

Author

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  • Norberto Rodríguez

    ()

  • Patricia Siado

Abstract

En este trabajo se presentan los resultados de un ejercicio de pronóstico no paramétrico múltiples pasos adelante para la inflación colombiana mensual. En particular, se usa estimación Kernel para la media condicional de los cambios de la inflación dada su propia historia. Los resultados de pronóstico se comparan con un modelo ARIMA estacional y un modelo tipo STAR. Se encuentra que, excepto para el pronóstico un mes adelante, el pronóstico no parametrito mejora a las otras dos metodologías que le compiten; además, de entre las tres alternativas consideradas el no paramétrico es el único pronóstico que estadísticamente mejora al pronóstico que se hace con un modelo de caminata aleatoria.

Suggested Citation

  • Norberto Rodríguez & Patricia Siado, 2003. "Un Pronóstico No Paramétrico De La Inflación Colombiana," BORRADORES DE ECONOMIA 003691, BANCO DE LA REPÚBLICA.
  • Handle: RePEc:col:000094:003691
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    References listed on IDEAS

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    1. Johnston, Gordon J., 1982. "Probabilities of maximal deviations for nonparametric regression function estimates," Journal of Multivariate Analysis, Elsevier, vol. 12(3), pages 402-414, September.
    2. 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, vol. 20(41-42), pages 143-214, June.
    3. Luis Fernando Melo & Martha Misas, 1998. "Análisis del comportamiento de la inflación trimestral en Colombia bajo cambios de régimen: Una evidencia a través del modelo "Switching" de Hamilton," REVISTA DE ECONOMÍA DEL ROSARIO, UNIVERSIDAD DEL ROSARIO, November.
    4. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
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    6. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643, May.
    7. Wolfgang HÄRDLE & L. YANG, 1996. "Nonparametric Time Series Model Selection," SFB 373 Discussion Papers 1996,53, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    8. Siegfried Heiler, 1999. "A Survey on Nonparametric Time Series Analysis," Finance 9904005, EconWPA.
    9. Wolfgang HÄRDLE & H. LÜTKEPOHL & R. CHEN, 1996. "A Review of Nonparametric Time Series Analysis," SFB 373 Discussion Papers 1996,48, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    10. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    11. Munir A. Jalil & Luis Fernando Melo, 2000. "Una Relación no Líneal entre Inflación y los Medios de Pago," Borradores de Economia 145, Banco de la Republica de Colombia.
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    Cited by:

    1. Melo, Luis F. & Loaiza, Rubén A. & Villamizar-Villegas, Mauricio, 2016. "Bayesian combination for inflation forecasts: The effects of a prior based on central banks’ estimates," Economic Systems, Elsevier, vol. 40(3), pages 387-397.
    2. Luis Eduardo Arango & Luz Adriana Flórez, 2004. "Expectativas de actividad económica en Colombia y estructura a plazo: un poco más de evidencia," Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(47), pages 126-160, Diciembre.
    3. María Paola Figueroa & Javier Gómez Pineda, 2003. "Modelo Mensual de Canales de Transmisión," Borradores de Economia 267, Banco de la Republica de Colombia.
    4. Juan Manuel Julio & Norberto Rodríguez & Héctor Manuel Zárate, 2005. "Estimating the COP Exchange Rate Volatility Smile and the Market Effect of Central Bank Interventions: A CHARN Approach," BORRADORES DE ECONOMIA 002605, BANCO DE LA REPÚBLICA.

    More about this item

    Keywords

    Pronóstico No Paramétrico;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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