PEMODELAN REGRESI SPASIAL DEPENDENSI PADA TINGKAT PARTISIASI ANGKATAN KERJA DI INDONESIA TAHUN 2020

  • Rahmayunda Usali Universitas Negeri Gorontalo
  • Nurwan Nurwan Universitas Negeri Gorontalo
  • Franky Alfrits Oroh Universitas Negeri Gorontalo
  • Muhammad Rezky Friesta Payu Universitas Negeri Gorontalo
DOI: https://doi.org/10.30598/barekengvol15iss4pp687-696
Keywords: Spatial Regression, LFPR, SAR, SEM

Abstract

This study discusses the regression modeling with spatial dependence to determine the factors affecting the labor force participation rate in Indonesia 2020. The spatial regression models used in this study are spatial Autoregressive Model (SAR) and Spatial Error Model (SEM), The finding concludes that the SAR model is better used in spatial modeling. At the same time, provincial minimum wage, the average length of school or educational level, and population are factors that affect the labor force participation rate in Indonesia 2020.

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Published
2021-12-01
How to Cite
[1]
R. Usali, N. Nurwan, F. A. Oroh, and M. R. F. Payu, “PEMODELAN REGRESI SPASIAL DEPENDENSI PADA TINGKAT PARTISIASI ANGKATAN KERJA DI INDONESIA TAHUN 2020”, BAREKENG: J. Math. & App., vol. 15, no. 4, pp. 687-696, Dec. 2021.
Issue
Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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