Identifikasi Faktor yang Memengaruhi Tingkat Pengangguran Terbuka di Jawa Barat Menggunakan Regresi Data Panel

Abstract

West Java is the province with the highest open unemployment rate in Indonesia by 2022, at 8,31%. This research aims to determine the appropriate model for estimating the Open Unemployment Rate (TPT) in West Java Province using panel data regression so that it can identify the variables that influence it. The data used in this study are secondary data obtained from BPS for five years (2018–2022) and comprised of 27 districts/cities. The observed response variable is the unemployment rate of the open county/city in the West Java province. The factors used as explanatory variables are the participation rate of the labor force, average school age, per capita output, population growth rate, percentage of the poor population, high school gross participation, regional gross domestic product, district/city minimum wage, foreign capital investment, and domestic capital investment. The study results showed that the panel data regression model suitable to describe the open unemployment rate in West Java was a Random Effect Model with a two-way specific effect influence with an R-squared value of 41,71%. Variables significantly affecting the 5% significance level are the labor force participation rate, population growth rate, and district/city minimum wages.