Income Variables and the Measures of Gains from Crime
The empirical literature on the economic analysis of crime suffers from the lack of theoretical underpinnings in using various income variables to proxy expected net gains from crime. As a result, the empirical findings are often mixed or contradictory to one another. This note provides a theoretical argument that relates the net expected gains from crime to a measure of income inequality (Gini coefficient) and the mean income of a society, thereby clarifying the confusions which exist in current criminometric studies.CRLF 1998.16.html: abstract Testing for linearity in time series models has been an active area of research [see Granger and Terasvirta (1993), Tong (1991)]. The authors consider a test for linearity against a particular regime switching model known as the smooth transition autoregressive (STAR) model.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1998|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.latrobe.edu.au/economics|
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:trb:wpaper:1998.15. 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: (Stephen Scoglio)
If references are entirely missing, you can add them using this form.