Real-time or current vintage: does the type of data matter for forecasting and model selection?

Real-time or current vintage: does the type of data matter for forecasting and model selection?

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Article ID: iaor200969450
Country: United Kingdom
Volume: 28
Issue: 3
Start Page Number: 183
End Page Number: 193
Publication Date: Apr 2009
Journal: Journal of Forecasting
Authors:
Keywords: time series & forecasting methods
Abstract:

In this paper we investigate the impact of data revisions on forecasting and model selection procedures. A linear ARMA model and nonlinear SETAR model are considered in this study. Two Canadian macroeconomic time series have been analyzed: the real-time monetary aggregate M3 (1977-2000) and residential mortgage credit (1975-1998). The forecasting method we use is multi-step-ahead non-adaptive forecasting.

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