Modeling of Regency/City Unemployment Rates in Java Island Using Multilevel Binary Logistic Regression
Multilevel binary logistic regression analysis is a development of logistic regression for hierarchical data structures. Hierarchical data is data from a population that has levels. This research examines the relationship model of Life Expectancy, Mean Years of Schooling, Expected Years of Schooling, Regency/City Minimum Wage as explanatory variables at level 1 (Regency) and Gross Regional Domestic Income (GRDP) as an explanatory variable at level 2 (Provincial) against Unemployment Rate (UR) as a response variable. The research results show that Life Expectancy and Minimum Wage at level 1 and GRDP at level 2 have a significant influence on district/city TPT on Java Island in 2022
Authors
- Anang Kurnia (ORCID: https://orcid.org/0000-0001-9409-2361)
- Dhea Dewanti (ORCID: https://orcid.org/0009-0000-5103-3898)
- Kristuisno Martsuyanto Kapiluka (ORCID: https://orcid.org/0009-0004-5990-7798)
- Ajeng Bita Alfira
- Febryna Sembiring
Publication Details
- Journal
- Jurnal Matematika Statistika dan Komputasi
- Published
- 2024-09-15
- DOI
- https://doi.org/10.20956/j.v21i1.35584
- Primary Topic
- Grey System Theory Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00