Temporal causality and the dynamics of crime in Turkey
Purpose ‐ The purpose of this paper is to study empirically the dynamics of crime in Turkey at aggregate and disaggregate levels and provide empirical evidence of temporal causality between crime, health, income, divorce, urbanization and security expenditures.
Design/methodology/approach ‐ The paper employs bounds testing cointegration procedure, augmented causality tests and variance decompositions. Findings ‐ The empirical results suggest the existence of cointegration amongst the variables.
Augmented Granger causality tests and variance decomposition analyses indicate the different level, long-term associations between the variables. Practical implications ‐ Conclusions drawn from this study could be useful for the policy makers and practitioners in
international law organizations. Originality/value ‐ The paper provides first-time, comprehensive, time-series evidence on the dynamics of crime in Turkey using the framework of cointegration and causality tests.
Keywords: Causality; Cointegration; Crimes; Health; Income; Time series analysis; Turkey
Document Type: Research Article
Publication date: 27 July 2012
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