The Effect of Crime on the Job Market: An ARDL approach to Argentina
AbstractThis paper provides further evidence on the impact of crime on the job market using the time series data over the period 1980-2007 for Argentina. We also address methodological flaws by earlier crime studies by employing autoregressive distributed lag (ARDL) approach to cointegration advocated by Pesaran et al (2001). The results show that unemployment has a statistically positive effect on the crime rate, depending on the model used.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 44457.
Date of creation: Aug 2010
Date of revision:
Crime; Cointegration; ARDL;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
- K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
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