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Jurnal

Analisis Regresi Data Panel Dengan Model Efek Umum, Model Efek Tetap Dan Model Efek Acak (Studi Kasus: Inflasi Dan Indeks Pembangunan Manusia)

ESTIMASI: Journal of Statistics and Its Application · Vol. 5 No. 2 (2024) · pp. 282–295

DOI
10.20956/ejsa.v5i2.33279
ISSN
2721-379X, 2721-3803
Published
2024-07-27
Publisher
Hasanuddin University
Language
en

Abstract

Panel data regression analysis is a method for modeling the influence of independent variables on dependent variables, on a combination of cross-section and time-series data. This research aims to estimate a panel data regression model with a generalized effects model using the least squares method, estimate a fixed effects model with the Least Square Dummy Variable and estimate a random effects model with Generalized Least Square on inflation and human development index data. The results obtained show that the factors that have a significant influence at the 5% level on the inflation rate in 2014-2019 are the dollar exchange rate with a coefficient of determination of the general effects model of 61.06%, then the HDI level in South Sulawesi in 2011-2017 is significantly influenced by factors such as average length of schooling and life expectancy with a coefficient of determination of the fixed effects model of 89.73%, and the HDI level in South Sulawesi in 2016-2019 is significantly influenced by the factors of life expectancy, per capita expenditure and poverty with a coefficient of determination of the random effects model amounting to 63.07%.

Keywords

Collaboration network of the authors

24 authors · 48 co-authorship links

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  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Georgina Maria TinungkiAffiliation unknown6
Sitti SahrimanAffiliation unknown3
Ratmila MammiAffiliation unknown2
Iis Cendrah KasihAffiliation unknown1
Rizki AdiputraAffiliation unknown1
Ika FitrianaAffiliation unknown1
Andi Kresna JayaAffiliation unknown1
Reski AmalahAffiliation unknown1
Nur Alfianingsih RajaAffiliation unknown1
Aqilah Salsabila RahmanAffiliation unknown1
Anisa KalondengAffiliation unknown1
Nurkamalia NurkamaliaAffiliation unknown1
Nurtiti SunusiAffiliation unknown1
Riska RasyidAffiliation unknown1
Mukrimin AdamAffiliation unknown1
Nurhidaya LAffiliation unknown1
Sonya SonyaAffiliation unknown1
Rael Hofni TandirerungAffiliation unknown1
Nurul HikmahInstitut Agama Islam Negeri Kendari1
Raupong RaupongAffiliation unknown1
Parida Ayu NingsiAffiliation 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">Analisis Regresi Data Panel Dengan Model Efek Umum, Model Efek Tetap Dan Model Efek Acak (Studi Kasus: Inflasi Dan Indeks Pembangunan Manusia)</dc:title>
	<dc:creator xml:lang="en">ada, Nuralyatussa’</dc:creator>
	<dc:creator xml:lang="en">Herdiani, Erna Tri</dc:creator>
	<dc:creator xml:lang="en">Sirajang, Nasrah</dc:creator>
	<dc:subject xml:lang="en">Panel Data Regression Analysis</dc:subject>
	<dc:subject xml:lang="en">Least Square Method</dc:subject>
	<dc:subject xml:lang="en">Least Square Dummy Variable</dc:subject>
	<dc:subject xml:lang="en">Generalized Least Square</dc:subject>
	<dc:subject xml:lang="en">Inflation</dc:subject>
	<dc:subject xml:lang="en">Human Development Index</dc:subject>
	<dc:description xml:lang="en">Panel data regression analysis is a method for modeling the influence of independent variables on dependent variables, on a combination of cross-section and time-series data. This research aims to estimate a panel data regression model with a generalized effects model using the least squares method, estimate a fixed effects model with the Least Square Dummy Variable and estimate a random effects model with Generalized Least Square on inflation and human development index data. The results obtained show that the factors that have a significant influence at the 5% level on the inflation rate in 2014-2019 are the dollar exchange rate with a coefficient of determination of the general effects model of 61.06%, then the HDI level in South Sulawesi in 2011-2017 is significantly influenced by factors such as average length of schooling and life expectancy with a coefficient of determination of the fixed effects model of 89.73%, and the HDI level in South Sulawesi in 2016-2019 is significantly influenced by the factors of life expectancy, per capita expenditure and poverty with a coefficient of determination of the random effects model amounting to 63.07%.</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/33279</dc:identifier>
	<dc:identifier>10.20956/ejsa.v5i2.33279</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 5, No. 2, Juli, 2024 : Estimasi; 282-295</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/33279/11863</dc:relation>
</oai_dc:dc>