.jpg)
Regresi Data Panel dalam Analisis Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka di Provinsi Daerah Istimewa Yogyakarta Tahun 2017-2021
Abstract
Open unemployment is one of the most important problems in a country's economy. High unemployment rates can cause serious economic impacts, such as reduced productivity, poverty, and social instability. This problem is one that currently being faced by Indonesia, including in the Province of Special Region of Yogyakarta. This study aims to analyze the factors that influence the open unemployment rate in the Special Region of Yogyakarta Province in the 2017-2021 period. The factors tested include the Human Development Index (HDI), Regional Gross Domestic Product (Regional GDP), and District/City Minimum Wage. This study uses the panel data regression method using annual data from each district/city in the Special Region of Yogyakarta Province during the 2017-2021 period. The results showed that the Human Development Index (HDI) and District/City Minimum Wage variables positively and significantly affected the open unemployment rate in Special Region of Yogyakarta Province during the study period. Meanwhile, the GRDP variable has an insignificant effect on the open unemployment rate in the Special Region of Yogyakarta Province.
Keywords: Data Panel; TPT; IPM; UMK; PDRB
Full Text:
PDFReferences
BPS Provinsi Daerah Istimewa Yogyakarta, Statistik Ketenagakerjaan Daerah Istimewa Yogyakarta 2021-2022. Daerah Istimewa Yogyakarta, Indonesia: BPS Provinsi Daerah Istimewa Yogyakarta, 2022.
R. C. Hill, W. E. Griffiths, and G. C. Lim, Principles of Econometrics, 5th ed. Hoboken, NJ: John Wiley & Sons, 2018.
T. A. Prasanti, T. Wuryandari, & A. Rugisyono. “Aplikasi Regresi Data Panel untuk Pemodelan Tingkat Pengangguran Terbuka Kabupaten/Kota di Provinsi Jawa Tengah,” Jurnal Gaussian., vol. 4, no. 3, pp. 687-696, 2015.
W. I. Astuti, V. Ratnasari, & W. Wibowo. “Analisis Faktor yang Berpengaruh Terhadap Tingkat Pengangguran Terbuka di Provinsi Jawa Timur Menggunakan Regresi Data Panel,” Jurnal Sains dan Seni ITS., vol. 6, no. 1, pp. 150-156, 2017.
A. Sisnita, & N. Prawoto. “Analisis Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka di Provinsi Lampung (Periode 2009-2015),” Journal of Economics Research and Social Sciences., vol. 1, no. 1, pp. 1-7, 2017.
D. N. Gujarati and D. C. Porter, Basic Econometrics, 5th ed. New York, NY: McGraw-Hill/Irwin 2009.
W. H. Greene, Econometric Analysis, 8th ed. New York, NY: Pearson Education, 2018.
BPS Provinsi Daerah Istimewa Yogyakarta, Produk Domestik Regional Bruto Daerah Istimewa Yogyakarta Menurut Pengeluaran 2017-2021. Daerah Istimewa Yogyakarta, Indonesia: BPS Provinsi Daerah Istimewa Yogyakarta, 2022.
W. G. Septiyanto, & E. Tusianti. “Analisis Spasial Tingkat Pengangguran Terbuka di Provinsi Jawa Barat,” Jurnal Ekonomi Indonesia., vol. 9, no. 2, pp. 119-131, 2020.
BPS Provinsi Daerah Istimewa Yogyakarta, Indeks Pembangunan Manusia Daerah Istimewa Yogyakarta 2022. Daerah Istimewa Yogyakarta, Indonesia: BPS Provinsi Daerah Istimewa Yogyakarta, 2023.
