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All Journal Journal of English Language and Education
Resti Oktaviani
Military Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Military Defense University of the Republic of Indonesia
Languange, Linguistic, Communication & Media Other

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Modeling Expected Years of Schooling Based on Socioeconomic Factors in Banten Province Using the Gamma Regression Model Resti Oktaviani
Journal of English Language and Education Vol 11, No 2 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i2.2020

Abstract

Despite rapid economic growth in Banten Province, the disparity in Expected Years of Schooling (HLS) between districts/cities remains significant due to socioeconomic factors. This study aims to analyze the effect of Poverty Percentage, Gender Development Index (IPG), and Beneficiary Families (KPM) on HLS using Gamma Regression. A quantitative approach using secondary data from BPS Banten (2020-2024), the population of all districts/cities (n=42 total sampling observations), was analyzed through GLM R Studio with the link log function. The results show that IPG has a significant positive effect on HLS (p=0.007), while Poverty Percentage and KPM have a non-significant negative effect. The model has a high fit (AIC=79.05, MAPE=3.62%, RMSE=0.581) without heteroscedasticity, autocorrelation, or multicollinearity. Gender equality has been shown to be crucial for increasing access to education, although poverty remains a structural barrier.
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