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)

Amaliah, Eka Nur; Darnah, Darnah; Sifriyani, Sifriyani

doi:10.20956/ejsa.v1i2.10574

Jurnal

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

11 authors · 27 co-authorship links

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Co-author	Organisation	Joint articles
Ahmad Rizky Kesuma	Affiliation unknown	1
Farikah Ayu Rinanda	Affiliation unknown	1
Ilyas Astafira	Affiliation unknown	1
Nur Afriani	Affiliation unknown	1
Rizki Dwi Fadlirhohim	Affiliation unknown	1
Tri Septi Ayu Lestari	Affiliation unknown	1
Sri Wahyuningsih	Affiliation unknown	1
Selsi Selsi	Affiliation unknown	1

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>
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