Zhou, Peng ORCID: https://orcid.org/0000-0002-4310-9474 2021. Separating yolk from white: a filter based on economic properties of trend and cycle. International Journal of Computational Economics and Econometrics 11 (1) , pp. 78-83. 10.1504/IJCEE.2021.111716 |
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Official URL: http://dx.doi.org/10.1504/IJCEE.2021.111716
Abstract
This paper proposes a new filter technique to separate trend and cycle based on stylised economic properties of trend and cycle, rather than relying on ad hoc statistical properties such as frequency. Given the theoretical separation between economic growth and business cycle literature, it is necessary to make the measures of trend and cycle match what the respective theories intend to explain. The proposed filter is applied to the long macroeconomic data collected by the Bank of England (1700-2015).
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Publisher: | Inderscience |
ISSN: | 1757-1170 |
Date of First Compliant Deposit: | 23 October 2020 |
Date of Acceptance: | 16 November 2019 |
Last Modified: | 16 Nov 2024 19:15 |
URI: | https://orca.cardiff.ac.uk/id/eprint/135888 |
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