Does more crime mean fewer jobs? An ARDL model
AbstractThis paper analyses how a set of economic variables and a deterrence variable affect criminal activity. Furthermore, it highlights the extent to which crime is detrimental for the economic activity. The case study is Italy for the time span 1970 up to 2004. An Autoregressive Distributed Lags approach is employed to assess the cointegration status of the variables under investigation. A Granger causality test is also implemented to establish temporal interrelationships. The main finding is that all crime typologies, but homicides and fraud, have a crowding-out effect on legal economic activity, reducing the employment rate.
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Bibliographic InfoPaper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 200905.
Date of creation: 2009
Date of revision:
deterrence; economic variables; crowding-out effect; crime;
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
- E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
- K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-01-23 (All new papers)
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