Model Tingkat Kemiskinan di Kabupaten/Kota Provinsi Riau: Menggunakan Regresi Data Panel
DOI:
https://doi.org/10.15575/kubik.v6i2.13598Keywords:
Fixed effect model, panel data regression, poverty levelAbstract
The purpose of this study is to model the poverty rate in the districts/cities of Riau province in 2015-2019. In this study, the panel data regression method was used to model the poverty level in the districts/cities of Riau province. There are three approaches to predict panel data regression, those are the common effect model (CEM), the fixed effect model (FEM), and the random effect model (REM). The test results show that the problem of poverty levels in the districts/cities of Riau province in 2015-2019 is more accurately modeled with the fixed effect model (FEM) approach. From the FEM model formed, the effect of the poverty rate in the district/city of Riau province is caused by the average length of schooling of 12.136671 and economic growth of 0.304306 with the coefficient of determination (Adjusted R-square) reaching 98.62%.
Â
References
M. P. Todaro dan S. C. Smith, Pembangunan Ekonomi. Erlangga, 2006.
bps.go.id, “Badan Pusat Statistik Kota Pekanbaru,†bps.go.id, 2020. https://pekanbarukota.bps.go.id/pressrelease/2020/07/15/603/profil-kemiskinan-di-provinsi-riau--maret-2020.html (accessed Mar. 09, 2021).
D. Gujarati, Dasar-dasar Ekonometrika. Erlangga, 2007.
I. Makuta and B. O’Hare, “Quality of governance, public spending on health and health status in Sub Saharan Africa: A panel data regression analysis,†BMC Public Health, vol. 15, no. 1, pp. 1–11, 2015, doi: 10.1186/s12889-015-2287-z.
N. Fajriyah et al., “Pemodelan Faktor-Faktor yang Mempengaruhi Kemiskinan Kabupaten / Kota di Jawa Timur Menggunakan Regresi Data Panel,†J. Sains dan Seni, vol. 5, no. 1, 2016.
E. Widodo, E. Suriani, I. Putri, and G. Evi, “Analisis Regresi Panel pada Kasus Kemiskinan di Indonesia,†Pros. Semin. Nas. Mat., vol. 2, pp. 710–717, 2019.
A. Indra Setyaningsih and T. K. Wasik, “Model regresi data panel untuk mengetahui faktor yang mempengaruhi tingkat kemiskinan di pulau madura 1,2,†J. Gaussian, vol. 9, no. 2018, pp. 355–363, 2020.
C. Simar, N. Gusriani, I. Irianingsih, “Pengelompokan Kabupaten/Kota di Jawa Barat Tahun 2018 Berdasarkan Indikator Kemiskinan dengan Polythetic Divisive Method,†J. Kubik: Jurnal Publikasi Ilmiah Matematika, vol 5, no. 1, pp. 35–42, 2020.
D. F. Durrah, R. Cahyandari, A. S. Awalluddin, “Model Regresi Data Panel Terbaik untuk Faktor Penentu Laba Neto Perusahaan Asuransi Umum Syariah di Indonesia,†J. Kubik: Jurnal Publikasi Ilmiah Matematika, vol 5, no. 1, pp. 28–34, 2020.
T. A. Prasanti, T. Wuryandari, and A. Rusgiyono, “Aplikasi Regresi Data Panel Untuk Pemodelan Tingkat Pengangguran Terbuka Kabupaten/Kota Di Provinsi Jawa Tengah,†None, vol. 4, no. 3, pp. 687–696, 2015.
D. Satria, “Analisis Regresi: Model Data Panel,†Diassatria.com, 2020. https://www.diassatria.com/analisis-regresi-model-data-panel/ (accessed Mar. 10, 2021).
A. Widarjono, EKONOMETRIKA: Teori dan Aplikasi untuk Ekonomi dan Bisnis. 2005.
A. T. Basuki and N. Prawoto, “Analisis Regresi dalam Penelitian Ekonomi & Bisnis,†pp. 1–239, 2015.
W. H. Greene, “A Gamma-distributed stochastic frontier model.pdf,†vol. 46, pp. 141–163, 1990.
K. S. Kasmiarno, “Analisis Pengaruh Indikator Ekonomi dan Kinerja Perbankan Syariah Terhadap Penyerapan Tenaga Kerja Pada Perbaikan Syariah Di Indonesia Tahun 2088-2014,†pp. 14–26, 2016.
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Authors who publish in KUBIK: Jurnal Publikasi Ilmiah Matematika agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Â
