Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods
The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error...
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Universitas Bangka Belitung, Fakultas Ekonomi
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doaj-de3eddb4a7cb4536bea8ed2f59397c0a2020-11-25T02:11:53ZengUniversitas Bangka Belitung, Fakultas EkonomiIntegrated Journal of Business and Economics2549-59332549-32802018-02-0121243010.33019/ijbe.v2i1.4225Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS MethodsDarman Saputra0Kampus Terpadu Universitas Bangka Belitung Balunijuk Merawang Kab.Bangka Bangka BelitungThe Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. The Feasible Generalized Least Square (FGLS) method can be used to estimate the regression parameters for incomplete panel data for a one-way random effect. In this model produce the best model with non-oil and gas GRDP data. The variables that fulfill it are the processing Industry, service, and agriculture of Forestry and Fishery. Therefore looking at the above model can be concluded non-oil and Gas GRDP has three factors that affect per capita income in Bangka Belitung. This should be a reference of local governments to further improve the quality or production in agriculture and services because this potential is more promising for the future. Software used to analyze data in this paper is with R.http://ojs.ijbe-research.com/index.php/IJBE/article/view/42Heteroscedasticity, Panel data is not complete, Least Square Dummy Variable (lSDV), Feasible Generalized Least Square (FGLS), R. |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Darman Saputra |
spellingShingle |
Darman Saputra Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods Integrated Journal of Business and Economics Heteroscedasticity, Panel data is not complete, Least Square Dummy Variable (lSDV), Feasible Generalized Least Square (FGLS), R. |
author_facet |
Darman Saputra |
author_sort |
Darman Saputra |
title |
Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods |
title_short |
Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods |
title_full |
Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods |
title_fullStr |
Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods |
title_full_unstemmed |
Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods |
title_sort |
analysis of factors affecting economic growth in bangka belitung province, indonesia with lsdv and fgls methods |
publisher |
Universitas Bangka Belitung, Fakultas Ekonomi |
series |
Integrated Journal of Business and Economics |
issn |
2549-5933 2549-3280 |
publishDate |
2018-02-01 |
description |
The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. The Feasible Generalized Least Square (FGLS) method can be used to estimate the regression parameters for incomplete panel data for a one-way random effect. In this model produce the best model with non-oil and gas GRDP data. The variables that fulfill it are the processing Industry, service, and agriculture of Forestry and Fishery. Therefore looking at the above model can be concluded non-oil and Gas GRDP has three factors that affect per capita income in Bangka Belitung. This should be a reference of local governments to further improve the quality or production in agriculture and services because this potential is more promising for the future. Software used to analyze data in this paper is with R. |
topic |
Heteroscedasticity, Panel data is not complete, Least Square Dummy Variable (lSDV), Feasible Generalized Least Square (FGLS), R. |
url |
http://ojs.ijbe-research.com/index.php/IJBE/article/view/42 |
work_keys_str_mv |
AT darmansaputra analysisoffactorsaffectingeconomicgrowthinbangkabelitungprovinceindonesiawithlsdvandfglsmethods |
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