Electronic Theses and Dissertation

Penelitian ini bertujuan untuk untuk menganalisis Pengaruh Rata-Rata Lama Sekolah dan Angka Harapan Hidup Terhadap Ketimpangan Pendapatan Di Provinsi Aceh. Penelitian ini menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik (BPS) dan selama periode 2015-2023 dimana menggunakan aplikasi eviews 10. Penelitian ini mempunyai dua Variabel independent meliputi Rata-Rata Lama Sekolah dan Angka Harapan hidup serta variabel dependennya adalah Ketimpangan Pendapatan. Model yang digunakan dalam penelitian ini adalah model regresi data panel. Analisis data panel merupakan kombinasi antara Time Series dan Cross Section. Regresi data panel memiliki tiga macam pendekatan yaitu Common Effect, Fixed Effect dan Random Effect model. Dari penelitian ini diperoleh hasil pada variabel Rata-rata lama sekolah yang disimpulkan bahwa Rata-rata lama sekolah secara parsial berpengaruh negatif dan signifikan terhadap Ketimpangan pendapatan. Sedangkan varia\bel Angka harapan hidup disimpulkan bahwa Angka harapan hidup secara parsial berpengaruh negatif dan signifikan terhadap Ketimpangan pendapatan. Maka dapat di simpulkan Rata-rata lama sekolah dan angka harapan hidup secara simultan berpengaruh positif dan signifikan terhadap Ketimpangan pendapatan. Saran yang dapat dibeirikan uintuik peineilitian seilanjutinya dapat memperluas penelitian ini dengan mempertimbangkan variebel lainnya yang berpengaruh terhadap ketimpangan pendapatan.

Kata Kunci: Rata-Rata Lama Sekolah, Angka Harapan Hidup, Ketimpangan Pendapatan

This research aims to analyze the influence of average length of schooling and life expectancy on income inequality in Aceh Province. This research uses secondary data obtained from the Central Statistics Agency (BPS) and during the 2015-2023 period which uses the eviews 10 application. This research has two independent variables including Average Years of Schooling and Life Expectancy and the dependent variable is Income Inequality. The model used in this research is a panel data regression model. Panel data analysis is a combination of Time Series and Cross Section. Panel data regression has three types of approaches, namely Common Effect, Fixed Effect and Random Effect models. From this research, results were obtained on the variable Average length of schooling which concluded that Average length of schooling partially had a negative and significant effect on income inequality. Meanwhile, the variable life expectancy is concluded that life expectancy partially has a negative and significant effect on income inequality. So it can be concluded that the average length of schooling and life expectancy simultaneously have a positive and significant effect on income inequality. Suggestions that can be given as a detailed research intuition can further expand this research by considering other variables that influence income inequality. Keywords: Average Years of Schooling, Life Expectancy, Income Inequality