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A STUDY OF SMALL AREA ESTIMATION TO MEASURE MULTIDIMENSIONAL POVERTY WITH MIXED MODEL POISSON, ZIP, AND ZINB

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 1 (2023) · pp. 0439–0448

DOI
10.30598/barekengvol17iss1pp0439-0448
ISSN
2615-3017, 1978-7227
Published
2023-04-20
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The research began with calculating the value of multidimensional poverty at the district level in West Java Province from SUSENAS 2021. The calculation of multidimensional poverty was based on individuals in each district or city household. The dimensional weights are weighed the same, and the indicators in the dimensions are also weighed the same. Furthermore, the simulation study used the Poisson, ZIP, and ZINB mixed models to examine the model's performance on data with cases of excess zero values and overdispersion. The simulation was by generating data without overdispersion and with overdispersion. Overdispersion data was generated with parameters of ω (0.1, 0.3, 0.5, and 0.7), and the model was evaluated from the AIC value. The best method in the simulation study was used to estimate multidimensional poverty in sub-districts in West Java Province using PODES 2021. Simulation studies on data without overdispersion showed no difference in the model's goodness. Overdispersion data shows Mixed Model ZIP and ZINB are better than Mixed Model Poisson. The percentage of the multidimensional poverty population at the sub-district level in West Java Province is quite diverse, from 0.04% to 75.54%.

Collaboration network of the authors

30 authors · 72 co-authorship links · 1 across different organisations

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  • IPB University
  • Bandung Islamic University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kusman SadikAffiliation unknown3
Muhammad Nur AidiAffiliation unknown2
Anang KurniaAffiliation unknown2
Enny KristianiIPB University1
Ujang SumarwanIPB University1
Lilik Noor YuliatiIPB University1
Lismayani UsmanAffiliation unknown1
Anik DjuraidahAffiliation unknown1
Wa Ode Rona FreyaAffiliation unknown1
Sitti NurhalizaAffiliation unknown1
I Made SumertajayaAffiliation unknown1
Wiwik Andriyani Lestari NingsihAffiliation unknown1
Abdullah PannuAffiliation unknown1
Hari WijayantoAffiliation unknown1
Utami Dyah SyafitriAffiliation unknown1
Ratna Nur Mustika SanusiAffiliation unknown1
Khairil Anwar NotodiputroBandung Islamic University1
Andika Putri RatnasariAffiliation unknown1
Khalilah NurfadilahAffiliation unknown1
Khairil A. NotodiputroAffiliation unknown1
Wa Ode Rahmalia SafitriAffiliation unknown1
Farit Mochamad AfendiAffiliation unknown1
Assyifa Lala Pratiwi HamidAffiliation unknown1
Bagus SartonoIPB University1
Anwar FitriantoAffiliation unknown1
Lukmanul HakimAffiliation unknown1
Ade RiyawanAffiliation 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://ojs3.unpatti.ac.id/index.php/barekeng/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">A STUDY OF SMALL AREA ESTIMATION TO MEASURE MULTIDIMENSIONAL POVERTY WITH MIXED MODEL POISSON, ZIP, AND ZINB</dc:title>
	<dc:creator>Adwendi, Satria June</dc:creator>
	<dc:creator>Saefuddin, Asep</dc:creator>
	<dc:creator>Susetyo, Budi</dc:creator>
	<dc:description xml:lang="en-US">The research began with calculating the value of multidimensional poverty at the district level in West Java Province from SUSENAS 2021. The calculation of multidimensional poverty was based on individuals in each district or city household. The dimensional weights are weighed the same, and the indicators in the dimensions are also weighed the same. Furthermore, the simulation study used the Poisson, ZIP, and ZINB mixed models to examine the model's performance on data with cases of excess zero values and overdispersion. The simulation was by generating data without overdispersion and with overdispersion. Overdispersion data was generated with parameters of ω (0.1, 0.3, 0.5, and 0.7), and the model was evaluated from the AIC value. The best method in the simulation study was used to estimate multidimensional poverty in sub-districts in West Java Province using PODES 2021. Simulation studies on data without overdispersion showed no difference in the model's goodness. Overdispersion data shows Mixed Model ZIP and ZINB are better than Mixed Model Poisson. The percentage of the multidimensional poverty population at the sub-district level in West Java Province is quite diverse, from 0.04% to 75.54%.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-04-20</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7497</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss1pp0439-0448</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications; 0439-0448</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss1year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7497/5561</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Satria June Adwendi, Asep Saefuddin, Budi Susetyo</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>