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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Main Authors: Regina Niken Wilantari, Syafira Latifah, Wahyu Wibowo, Harun Al Azies
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340922008253
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author Regina Niken Wilantari
Syafira Latifah
Wahyu Wibowo
Harun Al Azies
author_facet Regina Niken Wilantari
Syafira Latifah
Wahyu Wibowo
Harun Al Azies
author_sort Regina Niken Wilantari
collection DOAJ
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 doaj.art-d4c454d68b954993b5c44e630333fe352022-12-22T04:17:38ZengElsevierData in Brief2352-34092022-12-0145108619Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia datasetRegina Niken Wilantari0Syafira Latifah1Wahyu Wibowo2Harun Al Azies3Department of Economics, Faculty of Economic and Business, University of Jember, 68121 Jember, IndonesiaDepartment of Economics, Faculty of Economic and Business, University of Jember, 68121 Jember, IndonesiaDepartment of Business Statistics, Faculty of Vocational Studies, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia; Corresponding author.Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, IndonesiaThe 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.http://www.sciencedirect.com/science/article/pii/S2352340922008253Additive mixed modelEducationIncome disparityInformation technologyInvestment
spellingShingle Regina Niken Wilantari
Syafira Latifah
Wahyu Wibowo
Harun Al Azies
Additive mixed modeling of impact of investment, labor, education and information technology on regional income disparity: An empirical analysis using the statistics Indonesia dataset
Data in Brief
Additive mixed model
Education
Income disparity
Information technology
Investment
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 Additive mixed model
Education
Income disparity
Information technology
Investment
url http://www.sciencedirect.com/science/article/pii/S2352340922008253
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