IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Does more crime mean fewer jobs? An ARDL model

  • C. Detotto

    ()

  • M. Pulina

    ()

This 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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://crenos.unica.it/crenos/node/1696
Download Restriction: no

File URL: http://crenos.unica.it/crenos/sites/all/modules/pubdlcnt/pubdlcnt.php?file=http://crenos.unica.it/crenos/sites/default/files/WP_09-05.pdf&nid=1696
Download Restriction: no

Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 200905.

as
in new window

Length:
Date of creation: 2009
Date of revision:
Handle: RePEc:cns:cnscwp:200905
Contact details of provider: Postal: Via S. Giorgio 12, I-09124 Cagliari
Phone: +70/6756406
Fax: +70/6756402
Web page: http://www.crenos.unica.it/
Email:


More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:cns:cnscwp:200905. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Antonello Pau)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.