Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset

The data that is the subject of the case study in this article is secondary data in the form of panel data. Data from the Statistics Indonesia database and Central Bureau of Statistics database of each province on Java Island (DKI Jakarta, West Java, Central Java, DI. Yogyakarta, East Java, and Bant...

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Autores principales: Wilantari, Regina Niken, Latifah, Syafira, Wibowo, Wahyu, Al Azies, Harun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679461/
https://www.ncbi.nlm.nih.gov/pubmed/36426087
http://dx.doi.org/10.1016/j.dib.2022.108619
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author Wilantari, Regina Niken
Latifah, Syafira
Wibowo, Wahyu
Al Azies, Harun
author_facet Wilantari, Regina Niken
Latifah, Syafira
Wibowo, Wahyu
Al Azies, Harun
author_sort Wilantari, Regina Niken
collection PubMed
description The data that is the subject of the case study in this article is secondary data in the form of panel data. Data from the Statistics Indonesia database and Central Bureau of Statistics database of each province on Java Island (DKI Jakarta, West Java, Central Java, DI. Yogyakarta, East Java, and Banten). This panel dataset consists of five research variables, namely a response variable which is the value of the income disparity index for each province in Java using the Williamson index calculation standard, and four predictor variables namely investment (GFCF), labor, the ICT Index, and education index of six provinces of Java Island, Indonesia during the period 2010 -2019.
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spelling pubmed-96794612022-11-23 Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset Wilantari, Regina Niken Latifah, Syafira Wibowo, Wahyu Al Azies, Harun Data Brief Data Article The data that is the subject of the case study in this article is secondary data in the form of panel data. Data from the Statistics Indonesia database and Central Bureau of Statistics database of each province on Java Island (DKI Jakarta, West Java, Central Java, DI. Yogyakarta, East Java, and Banten). This panel dataset consists of five research variables, namely a response variable which is the value of the income disparity index for each province in Java using the Williamson index calculation standard, and four predictor variables namely investment (GFCF), labor, the ICT Index, and education index of six provinces of Java Island, Indonesia during the period 2010 -2019. Elsevier 2022-09-17 /pmc/articles/PMC9679461/ /pubmed/36426087 http://dx.doi.org/10.1016/j.dib.2022.108619 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Wilantari, Regina Niken
Latifah, Syafira
Wibowo, Wahyu
Al Azies, Harun
Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
title Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
title_full Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
title_fullStr Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
title_full_unstemmed Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
title_short Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
title_sort additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: an empirical analysis using the statistics indonesia dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679461/
https://www.ncbi.nlm.nih.gov/pubmed/36426087
http://dx.doi.org/10.1016/j.dib.2022.108619
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