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- W1990178215 abstract "Abstract To forecast at several, say h , periods into the future, a modeller faces a choice between iterating one-step-ahead forecasts (the IMS technique), or directly modeling the relationship between observations separated by an h -period interval and using it for forecasting (DMS forecasting). It is known that structural breaks, unit-root non-stationarity and residual autocorrelation may improve DMS accuracy in finite samples, all of which occur when modelling the South African GDP over the period 1965–2000. This paper analyzes the forecasting properties of 779 multivariate and univariate models that combine different techniques of robust forecasting. We find strong evidence supporting the use of DMS and intercept correction, and attribute their superior forecasting performance to their robustness in the presence of breaks." @default.
- W1990178215 created "2016-06-24" @default.
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- W1990178215 date "2009-07-01" @default.
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- W1990178215 title "Multi-step forecasting in emerging economies: An investigation of the South African GDP" @default.
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- W1990178215 doi "https://doi.org/10.1016/j.ijforecast.2008.12.004" @default.
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