Forecasting Australia Gross Domestic Product (GDP) under Structural Change (SC) Using Break for Time Series Components (BFTSC)

Oloruntoba, Ajare Emmanuel and Adekunle, Adefabi and Abiodun, Adeyemo (2023) Forecasting Australia Gross Domestic Product (GDP) under Structural Change (SC) Using Break for Time Series Components (BFTSC). Asian Journal of Probability and Statistics, 25 (4). pp. 77-87. ISSN 2582-0230

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Abstract

The reason for this research is to enable us know the use BFTSC (break for time series components) in identification of the structural change and the time series components existing in Australia GDP. The data (Australia GDP) statistics spanned for period of fifty five years. The GDP of Australia is a higher information gotten from the StreamData of Universiti Utara Malaysia Library. The precincts of BFAST in terms of structural change was advanced to become BFTSC. BFTSC was created from basic research conducted on BFAST, results shows an innovative technique that captures the recurring (cyclicals) and non-recurring cyclical (irregular) components that was not included in the original BFAST technique and it was included in the methodology of this study. BFTSC was created to give a mutual image of all the required time series components. The subsequently forecasting technique was determined and forecast is made.

Item Type: Article
Subjects: Institute Archives > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 02 Jan 2024 06:25
Last Modified: 02 Jan 2024 06:25
URI: http://eprint.subtopublish.com/id/eprint/3971

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