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Pemodelan Produk Domestik Regional Bruto (PDRB) di Indonesia Periode 2018-2021 dengan Analisis Regresi Data Panel

ESTIMASI: Journal of Statistics and Its Application · Vol. 5 No. 2 (2024) · pp. 216–229

DOI
10.20956/ejsa.v5i2.27522
ISSN
2721-379X, 2721-3803
Published
2024-07-27
Publisher
Hasanuddin University
Language
en

Abstract

High and sustainable economic growth is the main condition or a must for the continuity of economic development and increased welfare. GRDP is defined as the total added value generated by all business units in an area. The analytical method used in this study is panel data regression analysis. Panel data regression is used to observe the relationship between one dependent variable and one or more independent variables. This study aims to determine the panel regression model of Gross Regional Domestic Product (GDP) in Indonesia for the period 2018 to 2021 and to find out whether the domestic investment investment variable and the cooperative business volume variable affect GRDP in Indonesia for the 2018-2021 period. The results obtained in this study are that the best panel regression model for modeling GRDP is the FEM model and the variable Domestic Investment Investment and Cooperative Business Volume are variables that have a significant effect on the GRDP variable in Indonesia for the 2018-2021 period.

Keywords

Collaboration network of the authors

9 authors · 24 co-authorship links

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Eka Nur AmaliahAffiliation unknown1
Darnah DarnahAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Pemodelan Produk Domestik Regional Bruto (PDRB) di Indonesia Periode 2018-2021 dengan Analisis Regresi Data Panel</dc:title>
	<dc:creator xml:lang="en">Kesuma, Ahmad Rizky</dc:creator>
	<dc:creator xml:lang="en">Rinanda, Farikah Ayu</dc:creator>
	<dc:creator xml:lang="en">Astafira, Ilyas</dc:creator>
	<dc:creator xml:lang="en">Afriani, Nur</dc:creator>
	<dc:creator xml:lang="en">Fadlirhohim, Rizki Dwi</dc:creator>
	<dc:creator xml:lang="en">Lestari, Tri Septi Ayu</dc:creator>
	<dc:creator xml:lang="en">Sifriyani, Sifriyani</dc:creator>
	<dc:subject xml:lang="en">Domestic investment investment</dc:subject>
	<dc:subject xml:lang="en">economic growth</dc:subject>
	<dc:subject xml:lang="en">GRDP</dc:subject>
	<dc:subject xml:lang="en">Panel Data Regression</dc:subject>
	<dc:subject xml:lang="en">cooperative business volume</dc:subject>
	<dc:description xml:lang="en">High and sustainable economic growth is the main condition or a must for the continuity of economic development and increased welfare. GRDP is defined as the total added value generated by all business units in an area. The analytical method used in this study is panel data regression analysis. Panel data regression is used to observe the relationship between one dependent variable and one or more independent variables. This study aims to determine the panel regression model of Gross Regional Domestic Product (GDP) in Indonesia for the period 2018 to 2021 and to find out whether the domestic investment investment variable and the cooperative business volume variable affect GRDP in Indonesia for the 2018-2021 period. The results obtained in this study are that the best panel regression model for modeling GRDP is the FEM model and the variable Domestic Investment Investment and Cooperative Business Volume are variables that have a significant effect on the GRDP variable in Indonesia for the 2018-2021 period.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2024-07-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/27522</dc:identifier>
	<dc:identifier>10.20956/ejsa.v5i2.27522</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 5, No. 2, Juli, 2024 : Estimasi; 216-229</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/27522/11858</dc:relation>
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