Discussion Paper

A systems approach to recursive economic forecasting and seasonal adjustment

Abstract: The paper discusses a new, fully recursive approach to the adaptive modeling, forecasting and seasonal adjustment of nonstationary economic time-series. The procedure is based around a time variable parameter (TVP) version of the well known component or structural model. It employs a novel method of sequential spectral decomposition (SSD), based on recursive state-space smoothing, to decompose the series into a number of quasi-orthogonal components. This SSD procedure can be considered as a complete approach to the problem of model identification and estimation, or it can be used as a first step in maximum likelihood estimation. Finally, the paper illustrates the overall adaptive approach by considering a practical example of a UK unemployment series which exhibits marked nonstationarity caused by various economic factors.

Keywords: Forecasting; Seasonal variations (Economics); time series analysis;

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Bibliographic Information

Provider: Federal Reserve Bank of Minneapolis

Part of Series: Discussion Paper / Institute for Empirical Macroeconomics

Publication Date: 1989

Number: 8