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2013 | 123 | 3 | 567-583
Article title

Almost Periodically Correlated Time Series in Business Fluctuations Analysis

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EN
Abstracts
EN
We propose a non-standard subsampling procedure to make formal statistical inference about the business cycle, one of the most important unobserved feature characterising fluctuations of economic growth. We show that some characteristics of business cycle can be modelled in a non-parametric way by discrete spectrum of the almost periodically correlated time series. On the basis of estimated characteristics of this spectrum business cycle is extracted by filtering. As an illustration we characterise the main properties of business cycles in industrial production index for Polish economy.
Keywords
EN
Year
Volume
123
Issue
3
Pages
567-583
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Dates
published
2013-03
References
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Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv123n315kz
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