Forecasting the gross domestic product (GDP) of Sarawak
This study intends to examine the detenninant of Gross Domestic Product (GDP) of Sarawak and use them to forecast the GDP of Sarawak. The empirical test that is used in this study includes unit root test and 10hansen-luselius cointegration test. The models that are employed are Autoregressive Integr...
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| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
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Universiti Malaysia Sarawak, (UNIMAS)
2015
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| Online Access: | http://ir.unimas.my/id/eprint/12684/ http://ir.unimas.my/id/eprint/12684/1/Forecasting%20the%20gross%20domestic%20product%20%28GDP%29%20of%20Sarawak%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/12684/8/Tan%20Chiou%20Sia%20ft.pdf |
| _version_ | 1848837250702376960 |
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| author | Tan, Chiou Sia |
| author_facet | Tan, Chiou Sia |
| author_sort | Tan, Chiou Sia |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | This study intends to examine the detenninant of Gross Domestic Product (GDP) of Sarawak and use them to forecast the GDP of Sarawak. The empirical test that is used in this study includes unit root test and 10hansen-luselius cointegration test. The models that are employed are Autoregressive Integrated Moving Average (ARlMA), Vector Error Correction (VEC) model, and fundamental model. The results state that exports has strong relationship with GDP. The results also indicate that Vector Error Correction (VEC) model produces the highest forecast accuracy for full sample and in-sample forecast whereas fundamental model produces the highest forecast accuracy for out-sample forecast. |
| first_indexed | 2025-11-15T06:36:41Z |
| format | Final Year Project Report / IMRAD |
| id | unimas-12684 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T06:36:41Z |
| publishDate | 2015 |
| publisher | Universiti Malaysia Sarawak, (UNIMAS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-126842024-04-16T04:17:13Z http://ir.unimas.my/id/eprint/12684/ Forecasting the gross domestic product (GDP) of Sarawak Tan, Chiou Sia HC Economic History and Conditions This study intends to examine the detenninant of Gross Domestic Product (GDP) of Sarawak and use them to forecast the GDP of Sarawak. The empirical test that is used in this study includes unit root test and 10hansen-luselius cointegration test. The models that are employed are Autoregressive Integrated Moving Average (ARlMA), Vector Error Correction (VEC) model, and fundamental model. The results state that exports has strong relationship with GDP. The results also indicate that Vector Error Correction (VEC) model produces the highest forecast accuracy for full sample and in-sample forecast whereas fundamental model produces the highest forecast accuracy for out-sample forecast. Universiti Malaysia Sarawak, (UNIMAS) 2015 Final Year Project Report / IMRAD NonPeerReviewed text en http://ir.unimas.my/id/eprint/12684/1/Forecasting%20the%20gross%20domestic%20product%20%28GDP%29%20of%20Sarawak%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/12684/8/Tan%20Chiou%20Sia%20ft.pdf Tan, Chiou Sia (2015) Forecasting the gross domestic product (GDP) of Sarawak. [Final Year Project Report / IMRAD] (Unpublished) |
| spellingShingle | HC Economic History and Conditions Tan, Chiou Sia Forecasting the gross domestic product (GDP) of Sarawak |
| title | Forecasting the gross domestic product (GDP) of Sarawak |
| title_full | Forecasting the gross domestic product (GDP) of Sarawak |
| title_fullStr | Forecasting the gross domestic product (GDP) of Sarawak |
| title_full_unstemmed | Forecasting the gross domestic product (GDP) of Sarawak |
| title_short | Forecasting the gross domestic product (GDP) of Sarawak |
| title_sort | forecasting the gross domestic product (gdp) of sarawak |
| topic | HC Economic History and Conditions |
| url | http://ir.unimas.my/id/eprint/12684/ http://ir.unimas.my/id/eprint/12684/1/Forecasting%20the%20gross%20domestic%20product%20%28GDP%29%20of%20Sarawak%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/12684/8/Tan%20Chiou%20Sia%20ft.pdf |