文章基本信息

标题：Dynamic Analysis of Criminal Behavior: An Application of Empirical Mode Decomposition
本地全文：下载
作者：Raphael Douglas de Freitas Lucena ; Rodolfo Ferreira Ribeiro Costa ; Ivan Castelar 等
期刊名称：International Journal of Economics and Finance
印刷版ISSN：1916-971X
电子版ISSN：1916-9728
出版年度：2021
卷号：13
期号：4
页码：47
DOI：10.5539/ijef.v13n4p47
出版社：Canadian Center of Science and Education
摘要：Our objective is to measure the permanent and transitory components of criminality in Brazilian states by using the methodology proposed by At and Chappe (2005). The empirical strategy used follows the Empirical Mode Decomposition method (EMD), proposed by Huang et al. (1998). Based on a sample collected using the Mortality Information System (SIM) from DATASUS, the decomposition process was carried out for the 27 Brazilian states from 1996 to 2015. The results of the decomposition for criminality show that the choice for crime occurs, for the largest part, due to permanent elements, which is a predictor of future crimes over time. The decomposition of criminality into these two types of components establishes some evidence regarding criminal behavior that can serve as reference for policy makers, since the implications of the results found raise questions about the policies to confront and reduce crime.
关键词：time series; criminality; empirical mode decomposition; Brazilian States