ANALISIS VARIABEL-VARIABEL YANG MEMENGARUHI KETIMPANGAN PENDAPATAN DI 12 KABUPATEN/KOTA PROVINSI SUMATRA SELATAN TAHUN 2019–2023 MENGGUNAKAN REGRESI DATA PANEL

NISA, KHAIRUN and Irmeilyana, Irmeilyana and Desiani, Anita (2025) ANALISIS VARIABEL-VARIABEL YANG MEMENGARUHI KETIMPANGAN PENDAPATAN DI 12 KABUPATEN/KOTA PROVINSI SUMATRA SELATAN TAHUN 2019–2023 MENGGUNAKAN REGRESI DATA PANEL. Undergraduate thesis, Sriwijaya University.

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Abstract

Income inequality is a problem of uneven distribution of income across regions. In South Sumatra, this income inequality is considered moderate when measured by the Gini ratio. This study aims to identify the variables that significantly affecting income inequality in 12 regencies/municipalities in South Sumatra Province from 2019 to 2023 using panel data regression. Panel data is a combination of time series and individual unit data. The data used for this study were secondary data sourced from the BPS-Statistics Indonesia of South Sumatra Province. The research variables include the Gini ratio, number of population, population growth rate, Human Development Index (HDI), Open Unemployment Rate (OUR), and Gross Regional Domestic Product (GRDP) rate. The best model estimation was carried out on three models, namely the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection was carried out using three tests, namely the Chow test, the Hausman test, and the Lagrange Multiplier test. The best model selected is CEM with a regression model. The CEM estimation results showed that an increase in number of population (X_1) tended to reduce income inequality, while an increase in population growth rate (X_2), HDI (X_3), and OUR (X_4) tended to increase income inequality. Variables have a significant affect and are able to explain income inequality in 12 regencies/municipalities in South Sumatra Province with a moderate level of model clarity. The very low prediction error value indicates that the model has high accuracy and is suitable for use. Keywords: Common Effect Model, income inequality, gini ratio, panel data regression.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Common Effect Model, income inequality, gini ratio, panel data regression
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q337.3 Swarm intelligence. Big data -- Social aspects. Information technology -- Economic aspects.
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Khairun Nisa
Date Deposited:	18 Sep 2025 02:31
Last Modified:	18 Sep 2025 02:31
URI:	http://repository.unsri.ac.id/id/eprint/184204

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