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Robust estimation and inflation forecasting

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  • Param Silvapulle
  • Ramya Hewarathna

Abstract

This paper considers various models emerging from the Fisher effect and/or the term structure of interest rates for inflation forecasting. This paper, it is believed, makes a contribution to the literature on estimation of the models by using a procedure that is robust for non-normal errors, improving the efficiency of the estimates considerably. The Consumer Price Index series, 90 days and 180 days Australian bank-accepted bill rates, covering the sample period 1968Q1 to 1998Q4 were used in this study. Contrary to earlier findings, strong evidence was documented supporting the Fisher effect in the presence of a structural break with the break-point being at 1980Q1. The overall results suggest that the error correction model of the Fisher effect, the term structure of interest rates and short-run dynamics produce superior forecasts, in particular when the models were estimated using the robust method. These findings have important implications for economic policy analysis.

Suggested Citation

  • Param Silvapulle & Ramya Hewarathna, 2002. "Robust estimation and inflation forecasting," Applied Economics, Taylor & Francis Journals, vol. 34(18), pages 2277-2282.
    • Handle: RePEc:taf:applec:v:34:y:2002:i:18:p:2277-2282
    DOI: 10.1080/00036840210138446
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    References listed on IDEAS

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    Cited by:

    1. Shaikh Hamid & Tej Dhakar, 2008. "The behaviour of the US consumer price index 1913-2003: a study of seasonality in the monthly US CPI," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1637-1650.
    2. Keshab Raj Bhattarai, 2006. "An Empirical Study of Interest Rate Determination Rules," EcoMod2006 272100011, EcoMod.

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