Ramdhana, Umma Rizqiyah (2023) Pemodelan Produk Domestik Regional Bruto di Jawa Timur Menggunakan Regresi Data Panel. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Regresi Data Panel merupakan metode untuk mengetahui pengaruh variabel independen terhadap variabel dependen menggunakan metode pemodelan analisis regresi Ordinary Least Square (OLS) pada data kombinasi time series dan cross section. Kinerja ekonomi Jawa Timur tahun 2016 hingga tahun 2019 cenderung mengalami peningkatan. Tahun 2016, pertumbuhan Jawa Timur adalah sebesar 5,57 persen kemudian di tahun selanjutnya tumbuh menjadi 5,46 persen. Tahun 2019 pertumbuhan Jawa Timur naik menjadi 5,52 persen, menguat jika dibandingkan tahun 2018 yang sebesar 5,47 persen. Banyak faktor yang mempengaruhi perubahan ekonomi di Jawa Timur. Sehingga dalam penelitian ini akan dianalisis dari 4 variabel prediktor tersebut apa saja yang mempengaruhi secara signifikan terhadap pertumbuhan PDRB di Provinsi Jawa Timur tahun 2016-2019. Hasil penelitian menunjukkan bahwa model terbaik dengan regresi data panel yaitu model estimasi FEM antar individu dengan R2 sebesar 99,97% dimana variabel pendapatan asli daerah yang berpengaruh signifikan terhadap PDRB di Provinsi Jawa Timur tahun 2016 – 2019. Model terbaik pada analisis ini adalah Fixed Effect Model (FEM) efek individu dengan koefisien determinasi 99,97% dan variabel yang signifikan adalah belanja modal, UMK dan IPM.
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Panel data regression is a method to determine the effect of independent variables on the dependent variable using the Ordinary Least Square (OLS) regression analysis modeling on combination of time series data and cross section. East Java's economic performance from 2016 to 2019 tends to increase. In 2016, East Java's growth was 5.57 percent, then in the following year it grew to 5.46 percent. East Java's economic performance from 2016 to 2019 tends to increase. In 2016, East Java's growth was 5.57 percent, then in the following year it grew to 5.46 percent. In 2019 East Java's growth rose to 5.52 percent, stronger compared to 2018 which amounted to 5.47 percent. Many factors influence economic changes in East Java. So that in this study will be analyzed from the 4 predictor variables which significantly influence GRDP growth in East Java Province in 2016-2019. The results show that the best model with panel data regression is the FEM estimation model individuals an R2 of 99.68% where the original regional income variable has a significant effect on GRDP in East Java Province in 2016 - 2019. The best model in this analysis is Fixed Effect Model (FEM) individual effects with a coefficient of determination of 99.97% and significant variables are capital expendictures, Regional Minimum Wage and HDI
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | belanja modal, indeks pembangunan manusia, regresi data panel, UMK, capital expendictures, human development index, panel data regression, regional minimum range |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation |
| Divisions: | Faculty of Vocational > 49501-Business Statistics |
| Depositing User: | Umma Rizqiyah Ramdhana |
| Date Deposited: | 17 Feb 2023 07:21 |
| Last Modified: | 17 Feb 2023 07:21 |
| URI: | http://repository.its.ac.id/id/eprint/97516 |
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