Forecasting the Colombian Monthly Inflation One Step Ahead: A "Bottom to Top" Approach

Authors

  • Julio César Alonso Centro de Estudios en Economía y Finanzas (CIENFI) Departamento de Economía Universidad Icesi, Cali
  • Andrés Felipe Rivera Centro de Estudios en Economía y Finanzas (CIENFI) Universidad Icesi, Cali

DOI:

https://doi.org/10.46661/revmetodoscuanteconempresa.2688

Keywords:

IPC, inflación, pronósticos, de abajo hacia arriba, Colombia, CPI, inflation, forecasts, "bottom to top"

Abstract

The hierarchical structure of the Colombian Consumer Price Index (CPI) makes possible to calculate inflation as a linear combination of its subcomponents. We use SARIMA models to forecast each component of CPI and construct an forecast of inflation using a lineal combination of the forecasts of these components, i.e. a "bottom to top" approach. In this paper, we asses the out-of-sample performance of the one-step ahead forecast of 12 "bottom to top" methodologies. These methods are compared with an aggregate forecast using a SARIMA model. Our results show that a "bottom to top" method to forecast inflation outperforms an aggregate approach for the case of monthly inflation in Colombia.

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References

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Published

2017-07-01

How to Cite

Alonso, J. C., & Rivera, A. F. (2017). Forecasting the Colombian Monthly Inflation One Step Ahead: A "Bottom to Top" Approach. Journal of Quantitative Methods for Economics and Business Administration, 23, Página 98 a 118. https://doi.org/10.46661/revmetodoscuanteconempresa.2688

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