Abstract
Much economic data exhibits a seasonal pattern; for example, consumers’ expenditure is higher at Christmas than at other times and expenditure on restaurants and hotels is higher in the summer. These examples relate to festivals or other cultural activities, whereas some seasonal patterns, whilst also related to the weather, are more fundamentally determined by them; for example, employment in agriculture and construction varies across the seasons and fishery activity is governed by biological processes that have an inherent seasonal cycle.
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© 2011 Kerry Patterson
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Patterson, K. (2011). Unit Root Tests for Seasonal Data. In: Unit Root Tests in Time Series. Palgrave Texts in Econometrics. Palgrave Macmillan, London. https://doi.org/10.1057/9780230299306_13
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DOI: https://doi.org/10.1057/9780230299306_13
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-0-230-25025-3
Online ISBN: 978-0-230-29930-6
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