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Regional inequality, human capital, unemployment, and economic growth in Indonesia: Panel regression approach

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  • Suparman Suparman
  • Muzakir Muzakir

Abstract

The purpose of this study is to estimate the relationship and influence between regional inequality variables, human capital, the open unemployment rate, and economic growth in Indonesia using panel data. The panel data consists of a combination of time series data from the 2010–2020 period, based on information from 32 provinces in Indonesia. The estimation model employed in this study is a panel regression model utilizing three methods: the common effect model (CEM), fixed effect model (FEM), and random effect model (REM). The findings of the study reveal a positive and significant effect of the ETI factor on the LOG (GRDP) factor. Additionally, the HDI variable exhibits a positive and significant impact on the LOG (GRDP) variable, while the UNR variable also shows a positive and significant effect on the LOG (GRDP) variable. Furthermore, the ETI variable is found to have a positive and significant influence on the UNR variable, while the HDI variable has a negative and significant impact on the UNR variable. Finally, the LOG (GRDP) variable demonstrates a positive and significant effect on the UNR variable.

Suggested Citation

  • Suparman Suparman & Muzakir Muzakir, 2023. "Regional inequality, human capital, unemployment, and economic growth in Indonesia: Panel regression approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2251803-225, October.
    • Handle: RePEc:taf:oaefxx:v:11:y:2023:i:2:p:2251803
    DOI: 10.1080/23322039.2023.2251803
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