Temporal causality and the dynamics of crime in Turkey
AbstractPurpose – 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.
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Bibliographic InfoArticle provided by Emerald Group Publishing in its journal International Journal of Social Economics.
Volume (Year): 39 (2012)
Issue (Month): 9 (July)
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Other versions of this item:
- Halicioglu, Ferda, 2012. "Temporal Causality and the Dynamics of Crime in Turkey," MPRA Paper 41794, University Library of Munich, Germany.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
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