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Articles | 2025-02-28

Regression Analysis of Panel Data on Gross Enrolment Rate (GER) At Junior High School and Equivalent Education Levels in South Sulawesi Province in 2018-2022

Nur Elisa, Muhammad Kasim Aidid, Sitti Masyitah Meliyana
Quantitative Economics and Management Studies, Vol. 6 No. 1 (2025), pp. 99-107 https://doi.org/10.35877/454RI.qems3932 Published: 2025-02-28
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Abstract

Panel data regression is a combination of time series and cross section data. This research aims to determine the factors that influence the gross participation rate in South Sulawesi Province using panel data regression analysis. The data used is data from 24 districts/cities in South Sulawesi province from 2018 to 2022 which was obtained through the website of the South Sulawesi Provincial Central Statistics Agency. There are three models in panel data regression analysis, namely the Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM). Based on the model selection carried out by carrying out the Chow Test, Hausman Test, and Lagrange Multiplier Test, the best model was obtained, namely the Random Effect Model.  The equation of this model is Yit = 82,818 + 0,1485X1it ? 0,0784X2it + 0,0053X3it + 0,0011X4it. Based on the results of panel data regression analysis, it was found that the variables that had a significant effect on the Gross Enrollment Rate in South Sulawesi province were the student to teacher ratio (X2), and population density (X4).

Keywords

Panel Data RegressionRandom Effect ModelGross Enrolment Rate (GER)

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How to Cite

Elisa, N., Aidid, M. K., & Meliyana, S. M. (2025). Regression Analysis of Panel Data on Gross Enrolment Rate (GER) At Junior High School and Equivalent Education Levels in South Sulawesi Province in 2018-2022. Quantitative Economics and Management Studies, 6(1), 99–107. https://doi.org/10.35877/454RI.qems3932