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

Regina Niken Wilantari, Syafira Latifah, Wahyu Wibowo*, Harun Al Azies

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number108619
JournalData in Brief
Volume45
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Additive mixed model
  • Education
  • Income disparity
  • Information technology
  • Investment

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