Faktor-Faktor yang Mempengaruhi Kemiskinan di Provinsi DI Yogyakarta Tahun 2019-2021 Menggunakan Regresi Data Panel

DOI:
https://doi.org/10.36456/buanamatematika.v13i2.7232
Keywords:
human development index, panel data, per capita expenditure, unemploymentAbstract
A country must often experience problems both in the economic, social, and so on. Economic problems can cause poverty. Poverty is a condition in which a person cannot meet the needs for clothing, shelter, and food. Factors causing the level of poverty, namely the economy, unemployment, and so forth. With this problem of poverty, the researcher wants to examine what factors influence the level of poverty in the DI Yogyakarta Province by using variables, namely per capita expenditure, unemployment, and HDI. The method used is panel data regression and the best model that has been obtained is the fixed effect model with individual effects or cross-section effects. From the results of the panel regression analysis, it states that the results of the estimation of the fixed effect model with the cross-section effect obtained a coefficient of determination of 0.93237 which explains that there is a negative relationship between the per capita expenditure variable and a positive relationship to the HDI variable on the poverty rate in the DI Yogyakarta Province in 2019-2021 of 93.24%. While the remaining 6.76% is influenced by variables that are not in the model.
Downloads
References
Awalurramadhana, Zulhimli, M., & Safitri, W. D. (2018). Analisis Hubungan Pengeluaran Perkapita dan Status Gizi Buruk Terhadap Kemiskinan Dengan Pengaruh Wilayahn Provinsi Aceh Tahun 2015-2016. Jurnal Ekonomi dan Bisnis Syariah, 11-23. DOI: https://doi.org/10.22373/ekobis.v2i2.10027
BPS. (2018). Konsumsi dan Pengeluaran. Retrieved from Konsumsi dan Pengeluaran: https://www.bps.go.id/subject/5/ konsumsi-dan-pengeluaran.html: https: // www.bps.go.id
Fatma. (2005). Pertumbuhan Penduduk. Yogyakarta: Gramedia.
Hatta, R., & Khoirudin, R. (2020). Analisis Tingkat Kemiskinan di Provinsi NTT. Samudra Ekonomi dan Bisnia, 138-150. DOI: https://doi.org/10.33059/jseb.v11i2.2004
Rosadi, D. (2010). Analisis Ekonometrika & Runtun Time Terapan dengan R. Yogyakarta: Andi.
Rustanto, B. (2015). Menangani Kemiskinan. Bandung: Remaja Rosdakarya.
Sangadah, S. K., Laut, L. T., & Jalunggono, G. (2018). Pengaruh Faktor-Faktor Penyebab Kemiskinan di Kabupaten Kebumen Tahun 2009-2018. DINAMIC, 229-243.
Suripto, S., & Lalu, S. (2020). Pengaruh Tingkat Pendidikan, Pengangguran, Pertumbuhan Ekonomi dan Indeks Pembangunan Manusia Terhadap Kemiskinan di D.I.Yogyakarta Periode 2010-2017. GROWTH Jurnal Ilmiah Ekonomi Pembangunan, 127-143.
Widiyanto, M. (2013). Statistika Terapan Konsep & Aplikasi SPSS/LISREL dalam Penelitian Pendidikan, Psikologi & Ilmu Sosial Lainnya. Jakarta: PT Alex Media Komputindo.
Yuliara, I. M. (2016). Modul Regresi Linear Berganda. Bali: Universitas UDAYANA.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.