Income Variables and the Measures of Gains from Crime
Chongwoo Choe () and
Additional contact information
John Chisholm: Department of Economics and Finance, La Trobe University
No 1998.15, Working Papers from School of Economics, La Trobe University
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.
Keywords: Income; Crimes EDIRC Provider-Institution: RePEc:edi:smlatau (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Journal Article: Income variables and the measures of gains from crime (2005)
Working Paper: Income Variables and the Measures of Gains from Crime (1998)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ltr:wpaper:1998.15
Access Statistics for this paper
More papers in Working Papers from School of Economics, La Trobe University Contact information at EDIRC.
Bibliographic data for series maintained by Stephen Scoglio (). This e-mail address is bad, please contact .