Modeling of crime rate in Indonesia during the COVID-19 pandemic from a macroeconomic perspective: Using robust regression with S-estimator

Tilas Notapiri, Toni Toharudin, Yusep Suparman

Abstract


Indonesia is the 4th country in Southeast Asia with the highest crime index in 2020. Economic factors are often linked as the main motive for the crime. The purpose of this study is for modeling the crime rate in Indonesia during the Covid-19 pandemic from a macroeconomic perspective. Regression analysis is an analysis that is used to explain and model the relationship between variables. The existence of outliers is often a problem in regression analysis with OLS. To overcome the outlier problem, this research uses robust regression with S-estimation. The results show that was influenced by the unemployment rate, poverty rate, GRDP per capita, population density, and human development index.

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Published: 2022-03-28

How to Cite this Article:

Tilas Notapiri, Toni Toharudin, Yusep Suparman, Modeling of crime rate in Indonesia during the COVID-19 pandemic from a macroeconomic perspective: Using robust regression with S-estimator, J. Math. Comput. Sci., 12 (2022), Article ID 118

Copyright © 2022 Tilas Notapiri, Toni Toharudin, Yusep Suparman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

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