CD Skripsi

Penerapan seemingly unrelated regression pada random effect model terhadap faktor-faktor yang memengaruhi kemiskinan di provinsi riau

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Poverty is a serious problem in national development that has an impact on welfare in Indonesia. This condition occurs when individuals or groups cannot meet basic needs, both food and non-food measured by the poverty line. The purpose of this study was to analyze the factors that influence poverty in Riau Province, using Riau Province People's Welfare Statistics data from 2019 to 2023. The method applied was panel data regression analysis with the Seemingly Unrelated Regression (SUR) approach on the Random Effect Model (REM), which handles the problem of correlation between cross-section units. The results of the analysis showed that the application of the SUR model to REM increased the R² value from 55.62% to 70.05%, indicating that this model is better than the Fixed Effect Model (FEM) and Common Effect Model (CEM) in explaining the relationship between independent and dependent variables. In addition, the variables Non-Cash Food Assistance (BPNT), Family Welfare Card (KKS), and Human Development Index (IPM) were shown to have a significant effect on poverty in Riau Province.
Keywords: Poverty, Seemingly Unrelated Regression, Random Effect Model

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103110512

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103110512

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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