Abstract
This study aims to examine and analyze the effect of Literacy Rate (LR) and Gross Regional Domestic Product (GRDP) on Poverty in the Big Cities of Java Island from 2015 to 2019. The population in this study is all people in the poor category in Indonesia. The samples in this study were people who were categorized as poor in the big cities of Java, namely the Special Capital Region of Jakarta, Bandung, Semarang, Surabaya, DIY, and Banten. Data were analyzed using panel data regression (pooled data) with a total sample of 30 data. The data processing tools in this study use Ms. Excel and Eviews no 9. The panel data regression model options include Estimating Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection using Chow Test and Hausmant Test. The results of the two tests recommend researchers use the output of the Fixed Effects Model for hypothesis testing. Results show that the Literacy Rate (LR) has a negative and significant effect on poverty in Big Cities in Java. GDRP doesn’t affect poverty in Big Cities in Java
Highlights
This study aims to examine and analyze the effect of Literacy Rate (LR) and Gross Regional Domestic Product (GRDP) on Poverty in the Big Cities of Java Island from 2015 to 2019
Regresi Data Panel Untuk Peramalan KonsumsiAngka Buta Huruf (ABH). Sirusa, Badan Pusat Statistik (BPS). Bruto. Sugiyono, P. D. (2018). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta. Wahyudi, D., & Rejekingsih, T. W. (2013). Analisis kemiskinan di Jawa Tengah. Diponegoro Journal Windia, W. (2015). Sekali Lagi Tentang Pengentasan of Economics, 2(1), 1–15. Kemiskinan (Di Bali). Piramida, 11(1), 1–7
Summary
1) Program Studi Manajemen, Fakultas Ekonomika dan Bisnis, Universitas Stikubank , Indonesia. Penelitian ini tentang melakukan pengujian dan penganalisisan pada pengaruh Literature Rate (LR) dan Produk Domestik Bruto (PDRB) terhadap Kemiskinan di Kota Besar Pulau Jawa pada tahun 2015 hingga 2019. Populasi pada penelitian ini mencakup semua orang dalam kategori miskin di Indonesia. Sampel penelitian adalah orang yang dikategorikam miskin di wilayah kota besar pulau Jawa, yaitu Daerah Khusus Ibukota Jakarta, Bandung, Semarang, Surabaya, DIY dan Banten. Alat pengolahan data pada penelitian ini menggunakan MS Excel dan Eviews seri. Opsi permodelan data panel regresi mencakup Common Effects Estimation Model (CEM), Fixed Effects Model (FEM), dan Random Effects Model (REM). Pengujian model memanfaatkan Uji Chow dan Uji Hausmant. Hasil penelitian memperlihatkan bahwa Literature Rate (LR) berpengaruh negatif dan signifikan terhadap kemiskinan kota kota Besar Pulau Jawa, sedangkan PDRB tidak memiliki pengaruh signifikan terhadap kemiskinan Kota kota Besar Pulau Jawa. Kata Kunci: Literature Rate, Produk Domestik Bruto, Uji Chow, Uji Hausmant
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