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Economics Beyond the Millennium$
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Alan P. Kirman and Louis-André Gérard-Varet

Print publication date: 1999

Print ISBN-13: 9780198292111

Published to Oxford Scholarship Online: November 2003

DOI: 10.1093/0198292112.001.0001

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Short‐Term Analysis of Macroeconomic Time Series

Short‐Term Analysis of Macroeconomic Time Series

Chapter:
(p.244) 12 Short‐Term Analysis of Macroeconomic Time Series
Source:
Economics Beyond the Millennium
Author(s):

Agustín Maravall

Publisher:
Oxford University Press
DOI:10.1093/0198292112.003.0015

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

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