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Relationship of Macroeconomics Variables in Indonesia Using Vector Error Correction Model

Economics Development Analysis Journal · Vol. 9 No. 4 (2020) · pp. 374–390

DOI
10.15294/edaj.v9i4.38662
ISSN
2252-6560
Published
2020-11-06
Publisher
Economics Development Department, Universitas Negeri Semarang, Indonesia
Language
eng

Abstract

This study aims to analyze the relationship between macroeconomic variables in Indonesia, namely GDP with money supply, exchange rate of rupiah to US Dollar, exports, imports and interest rates. The background problem is to analyze the best method to influence government targets or policies on economic growth by studying the relationship of macroeconomic variables. Previous studies analyzing the relationship between macroeconomic variables in Indonesia have used multiple linear regression analysis. Using VECM analysis we can find out the short-term and long-term effects on the relationship between macroeconomic variables in Indonesia. The analysis used in this study is the Vector Error Correction Model with Maximum Likelihood estimation. Based on the result, the cointegration test found that there is a long-term relationship. Based on the VECM model (3), in the short term there is a relationship between macroeconomic variables and in the long run there is a long-term causality relationship in the GDP and export models. It is expected that the Government and the Central Bank will work together cooperatively in making policies to keep control of the money supply, exchange rate of rupiah to US Dollar and interest rates to enable to stimulate the economy.

Collaboration network of the authors

40 authors · 132 co-authorship links · 5 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Brawijaya
  • Universitas Widya Kartika
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nur Silviyah RahmiAffiliation unknown3
Ani Budi AstutiUniversity of Brawijaya2
Diego IrsandyAffiliation unknown2
Henny PramoedyoUniversity of Brawijaya2
Adji Achmad Rinaldo FernandesUniversity of Brawijaya2
Rahma FitrianiAffiliation unknown2
Alya Fitri SyalsabillaAffiliation unknown1
Alya Fitri SyalsabillaUniversity of Brawijaya1
Agus Fachrur RozyUniversity of Brawijaya1
Sri HandayaniAffiliation unknown1
Alifiandi Rafi MuhammadAffiliation unknown1
Ulfah MaisarohAffiliation unknown1
Fang You Dwi Ayu Shalu SaniyawatiAffiliation unknown1
Fidia Raaihatul MashfiaAffiliation unknown1
Evelin Dewi LusianaAffiliation unknown1
Intan Fadhila RisdaAffiliation unknown1
Mohammad Hilmi SusantoAffiliation unknown1
Dwi Ayu LusiaUniversity of Brawijaya1
Heni KusdarwatiUniversity of Brawijaya1
Imelda SalsabilaAffiliation unknown1
Achmad EfendiAffiliation unknown1
Fachri FaisalAffiliation unknown1
Atiek IrianyUniversity of Brawijaya1
Petrus Kanisius OlaAffiliation unknown1
Armando Jacquis Federal ZamelinaAffiliation unknown1
Lucius RamifidisoaAffiliation unknown1
Solimun SolimunUniversity of Brawijaya1
Usriatur RohmaAffiliation unknown1
Darmanto DarmantoUniversitas Widya Kartika1
Nurjannah NurjannahInstitut Agama Islam Negeri Kendari1
Isnani DartiAffiliation unknown1
Muhammad Hisyam LeeAffiliation unknown1
Rismania Hartanti Putri Yulianing DamayantiAffiliation unknown1
Husnul KhatimahAffiliation unknown1
Ni Wayan Surya WardhaniAffiliation unknown1
Adinda Gita MaharaniAffiliation unknown1
Atmadani Rahayu FakhrunnisaAffiliation 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.unnes.ac.id/sju/index.php/edaj/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Relationship of Macroeconomics Variables in Indonesia Using Vector Error Correction Model</dc:title>
	<dc:creator>Hapsari, Meilina Retno</dc:creator>
	<dc:creator>Astutik, Suci</dc:creator>
	<dc:creator>Soehono, Loekito Adi</dc:creator>
	<dc:description xml:lang="en-US">This study aims to analyze the relationship between macroeconomic variables in Indonesia, namely GDP with money supply, exchange rate of rupiah to US Dollar, exports, imports and interest rates. The background problem is to analyze the best method to influence government targets or policies on economic growth by studying the relationship of macroeconomic variables. Previous studies analyzing the relationship between macroeconomic variables in Indonesia have used multiple linear regression analysis. Using VECM analysis we can find out the short-term and long-term effects on the relationship between macroeconomic variables in Indonesia. The analysis used in this study is the Vector Error Correction Model with Maximum Likelihood estimation. Based on the result, the cointegration test found that there is a long-term relationship. Based on the VECM model (3), in the short term there is a relationship between macroeconomic variables and in the long run there is a long-term causality relationship in the GDP and export models. It is expected that the Government and the Central Bank will work together cooperatively in making policies to keep control of the money supply, exchange rate of rupiah to US Dollar and interest rates to enable to stimulate the economy.</dc:description>
	<dc:publisher xml:lang="en-US">Economics Development Department, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2020-11-06</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edaj/article/view/38662</dc:identifier>
	<dc:identifier>10.15294/edaj.v9i4.38662</dc:identifier>
	<dc:source xml:lang="en-US">Economics Development Analysis Journal; Vol 9 No 4 (2020): Economics Development Analysis Journal; 374-390</dc:source>
	<dc:source>2252-6560</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edaj/article/view/38662/17309</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Economics Development Analysis Journal</dc:rights>
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