What type of study is this?

This is a Panel Data Regression study.

September 10, 2025

Analysis of Determinants of Crime in Java and Bali

Key Points

Crime rates are significantly impacted by education, unemployment, population, and poverty in both islands.
The study reports a notable R-squared value of 68%, indicating a strong model fit for the variables analyzed.
Using panel data regression, which merges time series and cross-sectional data, the best model identified is CEM.
Overall, findings suggest that addressing these socio-economic factors could help reduce crime in Java and Bali.

Abstract

This analysis examines the influence of education, unemployment, population, and poverty variables on crime rates in Java and Bali. The panel data regression method, which is a combination of time series and cross-section data, was applied in this study. The secondary data used in this study was obtained from BPS Indonesia from 2015 to 2022. The variables collected include Education, Unemployment, Population, Poverty, and Crime. The best model obtained from the regression results of panel data is CEM. The study provides clues that education, unemployment, population size, and poverty simultaneously have a significant impact on crime rates on the islands of Java and Bali. Overall, these variables have a significant impact on crime, with an R-squared value of 68%.

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