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Income Variables and the Measures of Gains from Crime

Chongwoo Choe () and John Chisholm
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John Chisholm: Department of Economics and Finance, La Trobe University

No 1998.15, Working Papers from School of Economics, La Trobe University

Abstract: 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)
Date: 1998
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Journal Article: Income variables and the measures of gains from crime (2005) Downloads
Working Paper: Income Variables and the Measures of Gains from Crime (1998)
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