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Regresi Data Panel dengan Pendekatan Common Effect Model (CEM), Fixed Effect model (FEM) dan Random Effect Model (REM) (Studi Kasus: Persentase Penduduk Miskin Menurut Kabupaten/Kota di Kalimantan Timur Tahun 2015-2018)

ESTIMASI: Journal of Statistics and Its Application · Vol. 1 No. 2 (2022) · pp. 106–115

DOI
10.20956/ejsa.v1i2.10574
ISSN
2721-379X, 2721-3803
Published
2022-02-02
Publisher
Hasanuddin University
Language
en

Abstract

Panel data regression is a regression that combines cross section data and time series data. Panel data regression estimation can be done through 3 estimates namely CEM, FEM and REM. This research will make a modeling of the percentage of poor people according to regencies / cities in East Kalimantan using panel data regression analysis. Poverty occurs due to lack of income and assets to meet basic needs. For this reason, variables that are assumed to affect the percentage of the poor are used, including the Population Growth Rate (LPP), Human Development Index (HDI), and Adjustable Per capita Expenditure (PPD). By using 3 CEM, FEM and REM approaches based on testing, the best FEM model is obtained. Based on the FEM model the factors that significantly influence are the HDI and PPD. A value of 0.7755 means that the HDI and PPD can explain the percentage of poor people according to the Regency / City in East Kalimantan of 77.55% while the remaining 22.45% is influenced by other variables not yet included in the model.

Keywords

Collaboration network of the authors

37 authors · 79 co-authorship links

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  • Universitas Islam Madura
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Andrea Tri Rian DaniAffiliation unknown4
Surya PranggaAffiliation unknown3
Rizki Dwi FadlirhohimAffiliation unknown2
Zakiyah Mar'ahAffiliation unknown2
Meirinda FauziyahAffiliation unknown2
Suyitno SuyitnoAffiliation unknown2
Ahmad Rizky KesumaAffiliation unknown1
Farikah Ayu RinandaAffiliation unknown1
Ilyas AstafiraAffiliation unknown1
Nur AfrianiAffiliation unknown1
Tri Septi Ayu LestariAffiliation unknown1
Sri WahyuningsihAffiliation unknown1
Selsi SelsiAffiliation unknown1
Tirta PurnaragaAffiliation unknown1
Rifka Nurfaiza ZarkasiAffiliation unknown1
Aprianti Boma PadatuanAffiliation unknown1
Muhammad Danil PasarellaAffiliation unknown1
Fidia Deny Tisna AmijayaAffiliation unknown1
Memi Nor HayatiAffiliation unknown1
Yunda Sasha ParadillaAffiliation unknown1
Ar Ruum Mia SariAffiliation unknown1
Mohammad Nurul HudaUniversitas Islam Madura1
Sitti AnggraeniAffiliation unknown1
Qonita Qurrota A'yunAffiliation unknown1
Frans Karta Sayoga SitohangAffiliation unknown1
Siti MahmudaAffiliation unknown1
Anggi Putri AnisarAffiliation unknown1
Marisa Nanda SaputriAffiliation unknown1
Wasono WasonoAffiliation unknown1
Rahmania RahmaniaAffiliation unknown1
Asnita AsnitaAffiliation unknown1
Indria SaskaAffiliation unknown1
Ghina Fadhilla MumtazAffiliation unknown1
Azkadiaannzumi AzkadiaannzumiAffiliation 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">Regresi Data Panel dengan Pendekatan Common Effect Model (CEM), Fixed Effect model (FEM) dan Random Effect Model (REM) (Studi Kasus: Persentase Penduduk Miskin Menurut Kabupaten/Kota di Kalimantan Timur Tahun 2015-2018)</dc:title>
	<dc:creator xml:lang="en">Amaliah, Eka Nur</dc:creator>
	<dc:creator xml:lang="en">Darnah, Darnah</dc:creator>
	<dc:creator xml:lang="en">Sifriyani, Sifriyani</dc:creator>
	<dc:subject xml:lang="en">CEM</dc:subject>
	<dc:subject xml:lang="en">FEM</dc:subject>
	<dc:subject xml:lang="en">Panel Data Regression</dc:subject>
	<dc:subject xml:lang="en">Poverty</dc:subject>
	<dc:subject xml:lang="en">REM</dc:subject>
	<dc:description xml:lang="en">Panel data regression is a regression that combines cross section data and time series data. Panel data regression estimation can be done through 3 estimates namely CEM, FEM and REM. This research will make a modeling of the percentage of poor people according to regencies / cities in East Kalimantan using panel data regression analysis. Poverty occurs due to lack of income and assets to meet basic needs. For this reason, variables that are assumed to affect the percentage of the poor are used, including the Population Growth Rate (LPP), Human Development Index (HDI), and Adjustable Per capita Expenditure (PPD). By using 3 CEM, FEM and REM approaches based on testing, the best FEM model is obtained. Based on the FEM model the factors that significantly influence are the HDI and PPD. A value of 0.7755 means that the HDI and PPD can explain the percentage of poor people according to the Regency / City in East Kalimantan of 77.55% while the remaining 22.45% is influenced by other variables not yet included in the model.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-02-02</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/10574</dc:identifier>
	<dc:identifier>10.20956/ejsa.v1i2.10574</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 1, No. 2, Juli, 2020 : Estimasi; 106-115</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/10574/6800</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 ESTIMASI: Journal of Statistics and Its Application</dc:rights>
</oai_dc:dc>