The Impact of Infrastructure Access and Information Technology Use on Open Unemployment Rate in Java

Abstract

The Open Unemployment Rate (OUR) serves as a key indicator reflecting labor market performance and regional economic welfare over a given period. This study investigates the impact of mobile phone subscribers, households with computers, and internet users on the open unemployment rate across six provinces in Java, Indonesia. Employing secondary data from Badan Pusat Statistik (BPS) covering the period 2014–2023, this research utilizes panel data regression with a Fixed Effect Model (FEM) approach. EViews version 12 is used for statistical analysis. The results show that mobile phone subscribers have a positive and significant effect on the open unemployment rate in Java. In contrast, households with computers and internet users do not have a significant influence on the open unemployment rate.