Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.

Gross Domestic Product (GDP) per capita is often used as an indicator of standard of living in an economy. GDP per capita observed over the years can be modelled using time series models. A new class of GARMA has been introduced in the time series literature to reveal some hidden features in time se...

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Main Authors: Shitan, Mahendran, Pillai , Thulasyammal Ramiah
Format: Article
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24870/
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Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.24870
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spelling my.upm.eprints.248702013-08-27T01:44:33Z http://psasir.upm.edu.my/id/eprint/24870/ Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example. Shitan, Mahendran Pillai , Thulasyammal Ramiah Gross Domestic Product (GDP) per capita is often used as an indicator of standard of living in an economy. GDP per capita observed over the years can be modelled using time series models. A new class of GARMA has been introduced in the time series literature to reveal some hidden features in time series data. In this paper, we illustrate the fitting of GARMA (1, 1; 1,) model to the GDP growth data of Malaysia which has been observed from 1955 to 2009. The estimation of the model was done using Hannan-Rissanen Algorithm. 2011 Article PeerReviewed Shitan, Mahendran and Pillai , Thulasyammal Ramiah (2011) Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example. Journal of Global Business and Economics, 3 (1). pp. 138-145. ISSN 997-2229-9203 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Gross Domestic Product (GDP) per capita is often used as an indicator of standard of living in an economy. GDP per capita observed over the years can be modelled using time series models. A new class of GARMA has been introduced in the time series literature to reveal some hidden features in time series data. In this paper, we illustrate the fitting of GARMA (1, 1; 1,) model to the GDP growth data of Malaysia which has been observed from 1955 to 2009. The estimation of the model was done using Hannan-Rissanen Algorithm.
format Article
author Shitan, Mahendran
Pillai , Thulasyammal Ramiah
spellingShingle Shitan, Mahendran
Pillai , Thulasyammal Ramiah
Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
author_facet Shitan, Mahendran
Pillai , Thulasyammal Ramiah
author_sort Shitan, Mahendran
title Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
title_short Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
title_full Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
title_fullStr Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
title_full_unstemmed Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
title_sort application of garma(1,1;1,d) model to gdp in malaysia: an illustrative example.
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/24870/
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