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Income variables and the measures of gains from crime

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  • John Chisholm
  • Chongwoo Choe

Abstract

There is ambiguity in the empirical studies of crime economics regarding various income variables used to proxy the 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 (the Gini coefficient) and the mean income of a society, thereby clarifying the ambiguity. Copyright 2005, Oxford University Press.

Suggested Citation

  • John Chisholm & Chongwoo Choe, 2005. "Income variables and the measures of gains from crime," Oxford Economic Papers, Oxford University Press, vol. 57(1), pages 112-119, January.
  • Handle: RePEc:oup:oxecpp:v:57:y:2005:i:1:p:112-119
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    Cited by:

    1. Deller, Steven & Deller, Melissa, 2005. "Shifting Patterns in Wisconsin Crime Rates," Staff Paper Series 491, University of Wisconsin, Agricultural and Applied Economics.
    2. Kwabena Gyimah-Brempong, 2006. "Neighborhood income, alcohol availability, and crime rates," The Review of Black Political Economy, Springer;National Economic Association, vol. 33(3), pages 21-44, March.
    3. Eide, Erling & Rubin, Paul H. & Shepherd, Joanna M., 2006. "Economics of Crime," Foundations and Trends(R) in Microeconomics, now publishers, vol. 2(3), pages 205-279, December.
    4. Steven C. Deller & Melissa A. Deller, 2010. "Rural Crime and Social Capital," Growth and Change, Wiley Blackwell, vol. 41(2), pages 221-275.
    5. Baharom, A.H. & Habibullah, M.S., 2008. "Is crime cointegrated with income and unemployment?: A panel data analysis on selected European countries," MPRA Paper 11927, University Library of Munich, Germany.
    6. Baharom, A.H. & Habibullah, M.S., 2008. "Crime and Income Inequality: The Case of Malaysia," MPRA Paper 11871, University Library of Munich, Germany.

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