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...

Full description

Bibliographic Details
Main Authors: Shitan, Mahendran, Pillai , Thulasyammal Ramiah
Format: Article
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24870/
_version_ 1848845153883652096
author Shitan, Mahendran
Pillai , Thulasyammal Ramiah
author_facet Shitan, Mahendran
Pillai , Thulasyammal Ramiah
author_sort Shitan, Mahendran
building UPM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T08:42:18Z
format Article
id upm-24870
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T08:42:18Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling upm-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
spellingShingle Shitan, Mahendran
Pillai , Thulasyammal Ramiah
Application of GARMA(1,1;1,d) model to GDP in Malaysia: An illustrative example.
title 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_short 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.
url http://psasir.upm.edu.my/id/eprint/24870/