Dynamic Analysis of Criminal Behavior: An Application of Empirical Mode Decomposition
- Raphael Douglas de Freitas Lucena
- Rodolfo Ferreira Ribeiro Costa
- Ivan Castelar
- Francisco Soares de Lima
Abstract
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.- Full Text: PDF
- DOI:10.5539/ijef.v13n4p47
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- Berkeley Library
- CNKI Scholar
- COPAC
- Copyright Clearance Center
- Directory of Research Journals Indexing
- DTU Library
- EBSCOhost
- EconBiz
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Genamics JournalSeek
- GETIT@YALE (Yale University Library)
- Harvard Library
- Harvard Library E-Journals
- IBZ Online
- IDEAS
- JournalTOCs
- LOCKSS
- MIAR
- NewJour
- Norwegian Centre for Research Data (NSD)
- Open J-Gate
- PKP Open Archives Harvester
- Publons
- RePEc
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Ulrich's
- Universe Digital Library
- UoS Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Michael ZhangEditorial Assistant
- ijef@ccsenet.org