Chapter

Short‐Term Analysis of Macroeconomic Time Series

Agustín Maravall

in Economics Beyond the Millennium

Published in print September 1999 | ISBN: 9780198292111
Published online November 2003 | e-ISBN: 9780191596537 | DOI: http://dx.doi.org/10.1093/0198292112.003.0015

Series: The ASSET Series

 Short‐Term Analysis of Macroeconomic Time Series

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Agustin Maravall provides an account of the statistical methodology used in analysing the present situation and predicting the short‐term future. The analysis of the present consists of removing seasonality and trend which increase the variability of the data. He then discusses short‐term forecasting and argues that overall, stochastic model‐based forecasting has now become standard and that the usual processes employed have to be extended to multi‐variate settings and that non‐linear extensions will be important. One of Maravall's principle focuses is on seasonal adjustment and while arguing that model‐based signal extraction with ARIMA type modes will continue to predominate, he regrets the widespread practice of issuing data that has already been seasonally corrected. He concludes by giving an example to illustrate his contention that short‐term methods may well be highly unreliable for long term analysis.

Keywords: seasonal adjustments; seasonality; short‐term forecasting; stochastic model‐based forecasting

Chapter.  10009 words.  Illustrated.

Subjects: Macroeconomics and Monetary Economics

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