Proceedings of the 2nd UPY International Conference on Education and Social Science (UPINCESS 2023)

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Modelling Gender-Based Human Development Index in Indonesia Using Spatial Seemingly Unrelated Regression (S-SUR)

Authors
Prizka Rismawati Arum1, Kintoko2, *, Ardy Octavian Winarta1, Indah Manfaati Nur1, Eko Andy Purnomo1
1Universitas Muhammadiyah Semarang, Semarang, Indonesia
2Universitas PGRI Yogyakarta, Yogyakarta, Indonesia
*Corresponding author. Email: kintoko@upy.ac.id
Corresponding Author
Kintoko
Available Online 31 December 2023.
DOI
10.2991/978-2-38476-176-0_73How to use a DOI?
Keywords
Human Development Index; Queen Contiguity; Spatial Seemingly Unrelated Regression (S-SUR)
Abstract

Indonesia is one of the developing countries in Southeast Asia that still faces many problems and challenges in human development. An important indicator to assess human development in a region is the Human Development Index (HDI). Gender-based disparities in human development (gender inequality) are one of the main challenges faced by Indonesia. The Seemingly Unrelated Regression (SUR) method can only form equation models and can’t accommodate spatial effects that occur in each region in Indonesia. Therefore, the Spatial Seemingly Unrelated Regression (S-SUR) model plays a crucial role in modeling gender-based HDI in Indonesia. The aim of this research is to determine the best model formed from gender-based HDI in Indonesia in 2021. The spatial weights used in the S-SUR method are the Queen Contiguity weight matrix. The best model utilized is the SUR method with spatial lag effects (SUR-SLM) with an R-Squared value of 93,13 percent for Y1 (Male HDI) and 94,96 percent for Y2 (Female HDI). The research results show that the factors influencing gender-based HDI in Indonesia are Expected Years of Schooling, Mean Years of Schooling, and Per Capita Expenditure. The more neighbors a region has, the higher the Human Development Index (HDI) will increase by rho in that region.

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 2nd UPY International Conference on Education and Social Science (UPINCESS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 December 2023
ISBN
10.2991/978-2-38476-176-0_73
ISSN
2352-5398
DOI
10.2991/978-2-38476-176-0_73How 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  - Prizka Rismawati Arum
AU  - Kintoko
AU  - Ardy Octavian Winarta
AU  - Indah Manfaati Nur
AU  - Eko Andy Purnomo
PY  - 2023
DA  - 2023/12/31
TI  - Modelling Gender-Based Human Development Index in Indonesia Using Spatial Seemingly Unrelated Regression (S-SUR)
BT  - Proceedings of the 2nd UPY International Conference on Education and Social Science (UPINCESS 2023)
PB  - Atlantis Press
SP  - 508
EP  - 517
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-176-0_73
DO  - 10.2991/978-2-38476-176-0_73
ID  - Arum2023
ER  -