Modeling Life Expectancy Index in West Nusa Tenggara Province with Panel Regression Method
Abstract
Health is a condition of total physical, mental, and social well-being, rather than simply the lack of disease or weakness. One way to assess health indicators in a region is by enhancing the development of the health sector, which may be quantified using the life expectancy index (LEI). This study seeks to analyze the impact of average years of schooling, the adjusted per capita expenditure, and the number of poor people on life expectancy in NTB province from 2011 to 2020. The study's individual observation units consist of 10 regencies/cities in NTB Province. The data were obtained from BPS NTB in a panel data format and processed using the panel regression method. The panel model selection indicates that the Random Effect Model is the most suitable to predict the life expectancy in NTB province. The average years of schooling and the adjusted per capita expenditure have a notable impact on the life expectancy in NTB province. The effect provided is a beneficial impact. The number of poor people has a limited impact on life expectancy. Simultaneously, the average years of schooling, the adjusted per capita expenditure, and the number of poor people in the province of NTB have a substantial impact on the life expectancy.
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World Health Organization, Basic Documents, Forty-Ninth ed. Geneva: World Health Organization, 2020.
BPS Nusa Tenggara Barat, Profil Kesehatan Provinsi Nusa Tenggara Barat 2022. Mataram: Badan Pusat Statistik Provinsi Nusa Tenggara Barat, 2023.
N. Nazhifah and S. P. Wulandari, “Modeling of Life Expectancy at Birth in East Java 2015 with Multiple Linear Regression,” Thesis (Diploma), Institut Teknologi Sepuluh Nopember, Surabaya, 2017.
E. Ramadhani, N. Salwa, and M. S. Mazaya, “Identifikasi Faktor-Faktor yang Memengaruhi Angka Harapan Hidup di Sumatera Tahun 2018 Menggunakan Analisis Regresi Spasial Pendekatan Area,” Journal of Data Analysis, vol. 3, no. 2, pp. 62–75, Dec. 2020.
M. H. Mukrom, H. Yasin, and A. R. Hakim, “Pemodelan Angka Harapan Hidup Provinsi Jawa Tengah menggunakan Robust Spatial Durbin Model,” vol. 10, no. 1, pp. 44–54, 2021, [Online]. Available: https://ejournal3.undip.ac.id/index.php/gaussian/
A. Septianingsih, “Pemodelan Data Panel Menggunakan Random Effect Model untuk Mengetahui Faktor Yang Mempengaruhi Umur Harapan Hidup di Indonesia,” Jurnal Lebesgue: Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika, vol. 3, no. 3, pp. 525–536, 2022.
E. O. Resa and R. Aprirachman, “Analysis of Factors Influencing Life Expectation of West Nusa Tenggara Province,” Journal of Nusantara Economic Science (JNES) , vol. 1, no. 3, pp. 105–112, Sep. 2023.
W. Alwi, A. Sauddin, and N. M. Islamiah, “Faktor-Faktor Yang Mempengaruhi Angka Harapan Hidup di Sulawesi Selatan Menggunakan Analisis Regresi,” Jurnal Matematika dan Statistika serta Aplikasinya, vol. 11, no. 1, pp. 72–80, 2023.
D. N. Gujarati and D. C. Porter, Basic Econometrics, Fifth ed. New York: The McGraw-Hill Companies, 2009.
A. M. Astuti, “Fixed Effect Model Pada Regresi Data Panel,” Beta, vol. 3, no. 2, pp. 134–145, 2010, [Online]. Available: https://api.semanticscholar.org/CorpusID:114667096
A. M. Astuti, S. Setiawan, I. Zain, and J. D. T. Purnomo, “A Review of Panel Data on Spatial Econometrics Models,” J Phys Conf Ser, vol. 1490, no. 1, pp. 1–13, 2020, doi: 10.1088/1742-6596/1490/1/012032.
A. M. Astuti, S. Setiawan, I. Zain, and J. D. T. Purnomo, “The extended algorithm for quasi maximum likelihood parameter estimation,” in AIP Conference Proceedings, pp. 1–13, 2021. doi: 10.1063/5.0059509.
A. B. Padatuan, S. Sifriyani, and S. Prangga, “Modeling Life Expectations and Infant Death Rates in Kalimantan with Nonparametric Regression Spline Birespon,” BAREKENG: Jurnal Ilmu Matematika dan Terapan, vol. 15, no. 2, pp. 283–296, Jun. 2021, doi: 10.30598/barekengvol15iss2pp283-296.
E. Anggraini and U. Lisyaningsih, “Disparitas Spasial Angka Harapan Hidup Di Indonesia Tahun 2010,” Jurnal Bumi Indonesia, vol. 2, no. 3, pp. 71–80, 2013.
E. Yektiningsih, “Analisis Indeks Pembangunan Manusia (IPM) Kabupaten Pacitan Tahun 2018,” Jurnal Ilmiah Sosio Agribis, vol. 18, no. 2, pp. 32–50, Dec. 2018, doi: 10.30742/jisa.v18i2.528.
A. M. Astuti, S. Setiawan, I. Zain, and J. D. T. Purnomo, “A modified generalized estimating equation approach for simultaneous spatial durbin panel model: Case study of economic growth in ASEAN countries,” Decision Science Letters, vol. 12, no. 2, pp. 369–388, 2023, doi: 10.5267/dsl.2023.1.001.
B. H. Baltagi, Econometric Analysis of Panel Data, Third ed. England: John Wiley & Sons, 2005.
B. H. Baltagi, Econometrics, Sixth ed. New York: Springer, 2021.
L. O. Alviani, E. Kurniati, and F. H. Badruzzaman, “Penggunaan Regresi Data Panel pada Analisis Indeks Pembangunan Manusia,” Jurnal Riset Matematika, vol. 1, no. 2, pp. 99–108, Dec. 2021, doi: 10.29313/jrm.v1i2.373.
M. Rizki, A. Rusgiyono, and M. A. Mukid, “Pemodelan Indeks Pembangunan Manusia di Provinsi Jawa Tengah Tahun 2008-2013 dengan Menggunakan Regresi Data Panel,” vol. 4, no. 2, pp. 345–354, 2015, [Online]. Available: http://ejournal-s1.undip.ac.id/index.php/gaussian
C. Henukh and A. Atti, “Metode Regresi Data Panel untuk Pemodelan Indeks Pembangunan Manusia (IPM) di Provinsi Nusa Tenggara Timur,” Jurnal Diferensial, vol. 4, no. 2, pp. 103–113, 2022.
M. J. Hidayat, A. F. Hadi, and D. Anggraeni, “Analisis Regresi Data Panel Terhadap Indeks Pembangunan Manusia (IPM) Jawa Timur Tahun 2006-2015,” Majalah Ilmiah Matematika dan Statistika, vol. 18, no. 2, pp. 69–80, 2018, doi: 10.19184/mims.v18i2.17250.
R. P. CNAWP, “Pengaruh Faktor Produksi Terhadap Nilai Output Agroindustri Makanan di Kabupaten Banyuwangi,” Jurnal Ilmiah Manajemen Ekonomi Dan Akuntansi, vol. 1, no. 1, pp. 18–24, 2023, doi: https://doi.org/10.62017/jimea.v1i1.83.
D. A. Wirawan, “Analisa Faktor-Faktor Yang Mempengaruhi Migrasi Masuk di Pulau Sumatera dan Kalimantan,” Media Bina Ilmiah, vol. 17, no. 7, pp. 1769–1776, 2023.
Setiawan and D. E. Kusrini, Ekonometrika. Andi, 2010.
R. Nurfitri and T. S. Yanti, “Pemodelan Umur Harapan Hidup di Jabar Tahun 2021 Menggunakan Spatial Durbin Model,” Jurnal Riset Statistika, vol. 3, no. 2, pp. 137–146, Dec. 2023, doi: 10.29313/jrs.v3i2.3023.
DOI: http://dx.doi.org/10.12962/j27213862.v7i1.20148
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