Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)

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Gender Inequality Index Modeling in Indonesia Using Geographically Weighted Panel Regression Method

Authors
Khaira Umi1, *, Junaidi1, Fadjryani1
1Statistics Department, Faculty of Mathematical and Natural Sciences, University of Tadulako, Palu, 94118, Indonesia
*Corresponding author. Email: khairakhairum@gmail.com
Corresponding Author
Khaira Umi
Available Online 22 August 2023.
DOI
10.2991/978-94-6463-228-6_34How to use a DOI?
Keywords
Panel Data Regression; GWPR; Gender Inequality Index; Adaptive Kernel Bisquare
Abstract

The Gender Inequality Index (GII) is an index that describes the failure of human development achievement due to the inequality of gender that is measured by several aspects such as health, empowerment, and labor market access. The Geographically Weighted Panel Regression (GWPR) is a developed model which amalgamates the GWR model with panel data regression. The GWPR is used to address spatial heterogeneity problems in panel data. This study aims to determine the results of the GII modeling in Indonesia using the GWPR and their several influenced factors. The results of the GII modeling using the GWPR with adaptive kernel bisquare weighted functions produce different model equations at each location. The GWPR model produced an R2 of 73.97% with factors that significantly affect the GII including the percentage of people aged over 10 years who have no school (X2), the percentage of non-health facilities of childbirth (X3), the percentage of women sitting in parliament (X4), DI (X5), GDI (X6), OUR (X7) and LFPR (X8). Moreover, given an example, by the assumption of other variables are ignored the GII of Central Sulawesi Province in the t-th year will decrease by 0.0296. Moreover, the increase of 1% of women sitting in parliament (X4) in the t-th year by the assumption of ignoring other variables, will then decrease the GII by 0.0524. In addition, the increase of 1 unit of HDI (X5) in the t-year by assuming other variables are ignored, will decrease the GII by 1.7063.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)
Series
Advances in Physics Research
Publication Date
22 August 2023
ISBN
978-94-6463-228-6
ISSN
2352-541X
DOI
10.2991/978-94-6463-228-6_34How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Khaira Umi
AU  - Junaidi
AU  - Fadjryani
PY  - 2023
DA  - 2023/08/22
TI  - Gender Inequality Index Modeling in Indonesia Using Geographically Weighted Panel Regression Method
BT  - Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)
PB  - Atlantis Press
SP  - 303
EP  - 311
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-228-6_34
DO  - 10.2991/978-94-6463-228-6_34
ID  - Umi2023
ER  -