Small Area Estimation of Maluku and Papua Island Child Poverty Levels in 2023

Child welfare issues such as child poverty pose a challenge for Indonesia. The provinces in Maluku and Papua have the highest rates of child poverty. Data on child poverty at regencies/municipalities level is needed to address this issue through targeted policies. The direct estimations have a Relative Standard Error (RSE) value of more than 25 percent, necessitating the use of an indirect method, Small Area Estimation (SAE). This study aims to compare the results of indirect estimates of the percentage of children aged 0-17 living in poverty at the regencies/municipalities level in Maluku and Papua using SAE Empirical Best Linear Unbiased Prediction (EBLUP) and Hierarchical Bayes Beta (HB Beta) methods. Susenas KOR March 2023 data is used to produce direct estimates, while Podes 2021 data is used to form auxiliary variables. The results indicate that the SAE HB Beta method provides estimates with better RSE compared to SAE EBLUP. All regencies/municipalities in the Maluku and Papua have a fairly good level of accuracy.

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Publication Details

Journal
Jurnal Matematika Statistika dan Komputasi
Published
2024-09-15
DOI
https://doi.org/10.20956/j.v21i1.35293
Primary Topic
Public Health and Nutrition
Type
article
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article

Small Area Estimation of Maluku and Papua Island Child Poverty Levels in 2023

Nofita Istiana, Ervan Nur Rahmat, Putri Puspita Sari, Priatmadani Priatmadani et al.
Jurnal Matematika Statistika dan Komputasi
Public Health and Nutrition
article

Small Area Estimation of Maluku and Papua Island Child Poverty Levels in 2023

Nofita Istiana, Ervan Nur Rahmat, Putri Puspita Sari, Priatmadani Priatmadani, Faried Akbar Nafiis, Puput Budi Aji
article en

Abstract

Child welfare issues such as child poverty pose a challenge for Indonesia. The provinces in Maluku and Papua have the highest rates of child poverty. Data on child poverty at regencies/municipalities level is needed to address this issue through targeted policies. The direct estimations have a Relative Standard Error (RSE) value of more than 25 percent, necessitating the use of an indirect method, Small Area Estimation (SAE). This study aims to compare the results of indirect estimates of the percentage of children aged 0-17 living in poverty at the regencies/municipalities level in Maluku and Papua using SAE Empirical Best Linear Unbiased Prediction (EBLUP) and Hierarchical Bayes Beta (HB Beta) methods. Susenas KOR March 2023 data is used to produce direct estimates, while Podes 2021 data is used to form auxiliary variables. The results indicate that the SAE HB Beta method provides estimates with better RSE compared to SAE EBLUP. All regencies/municipalities in the Maluku and Papua have a fairly good level of accuracy.

Jurnal Matematika Statistika dan KomputasiVol. 21(1)
Statistics Belgium (BE)
Openalex Percentile: Top 74%
Public Health and Nutrition
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