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Inequality and Crime: Separating the Effects of Permanent and Transitory Income

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Earlier studies on income inequality and crime have typically used total income or total earnings. However, it is quite likely that it is changes in permanent rather than in transitory income that affects crime rates. The purpose of this paper is therefore to disentangle the two effects by, first, estimating region-specific inequality in permanent and transitory income and, second, estimating crime equations with the two separate income components as explanatory variables. The results indicate that it is important to separate the two effects; while an increase in the inequality in permanent income yields a positive and significant effect on total crimes and three different property crimes, an increase in the inequality in transitory income has no significant effect on any type of crime. Using a traditional, aggregate, measure of income yields mainly insignificant effects on crime.

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  • Dahlberg, Matz & Gustavsson, Magnus, 2005. "Inequality and Crime: Separating the Effects of Permanent and Transitory Income," Working Paper Series 2005:20, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:2005_020
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    Cited by:

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    2. Scott Drewianka, 2010. "Cross‐Sectional Variation In Individuals' Earnings Instability," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 291-326, June.
    3. Gustavsson, Magnus, 2013. "Permanent versus transitory wage differentials and the inequality-hours hypothesis," Economics Letters, Elsevier, vol. 121(3), pages 537-541.
    4. Chen, Jie, 2006. "The Dynamics of Housing Allowance Claims in Sweden: A discrete-time hazard analysis," Working Paper Series 2006:1, Uppsala University, Department of Economics.
    5. Baharom, A.H. & Habibullah, M.S. & Royfaizal, R. C, 2008. "Convergence of violent crime in the United States: Time series test of nonlinear," MPRA Paper 11926, University Library of Munich, Germany.
    6. Pazzona, Matteo, 2024. "Revisiting the Income Inequality-Crime Puzzle," World Development, Elsevier, vol. 176(C).
    7. Matz Dahlberg & Magnus Gustavsson, 2008. "Inequality and Crime: Separating the Effects of Permanent and Transitory Income," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 129-153, April.
    8. Catalina Gómez Toro & Hermilson Velásquez & Joaquín Andrés Urrego & Juan David Valderrama, 2014. "Efecto de los Ingresos Permanentes sobre el Delito: Un Enfoque Espacial y un Caso de Aplicación," Documentos de Trabajo de Valor Público 10900, Universidad EAFIT.
    9. André de Palma & Alexandre Guimard, 2014. "Urbanism, an overview," Working Papers hal-00969574, HAL.
    10. Bach, Stefan & Corneo, Giacomo & Steiner, Viktor, 2012. "Optimal top marginal tax rates under income splitting for couples," European Economic Review, Elsevier, vol. 56(6), pages 1055-1069.
    11. Yu Liu & Thomas M. Fullerton Jr. & Nathan J. Ashby, 2013. "Assessing The Impacts Of Labor Market And Deterrence Variables On Crime Rates In Mexico," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 669-690, October.
    12. Hallberg, Daniel, 2006. "Cross-national differences in income poverty among Europe´s 50+," Working Paper Series 2006:14, Uppsala University, Department of Economics.
    13. Baumann, Florian & Friehe, Tim, 2015. "Status concerns as a motive for crime?," International Review of Law and Economics, Elsevier, vol. 43(C), pages 46-55.
    14. Fredrik Johansson-Tormod & Anders Klevmarken, 2022. "Explaining the Size and Nature of Response in a Survey on Health Status and Economic Standard," International Journal of Microsimulation, International Microsimulation Association, vol. 15(1), pages 63-77.
    15. 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.
    16. M. B. Gordon & J. R. Iglesias & V. Semeshenko & J. P. Nadal, 2009. "Crime and punishment: the economic burden of impunity," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 68(1), pages 133-144, March.
    17. Baharom, A.H. & Habibullah, M.S., 2008. "Crime and Income Inequality: The Case of Malaysia," MPRA Paper 11871, University Library of Munich, Germany.
    18. Islam,Asif Mohammed, 2016. "An exploration of the relationship between police presence, crime, and business in developing countries," Policy Research Working Paper Series 7560, The World Bank.
    19. Cecilia Alonso, 2018. "Transferencias Monetarias y Crimen. Evidencia para la última década en Montevideo," Documentos de Investigación Estudiantil (students working papers) 18-02, Instituto de Economía - IECON.
    20. Michal Brzezinski, 2013. "Top income shares and crime," Applied Economics Letters, Taylor & Francis Journals, vol. 20(4), pages 309-315, March.
    21. Mohamad Kassem & Amjad Ali & Marc Audi, 2019. "Unemployment Rate, Population Density and Crime Rate in Punjab (Pakistan): An Empirical Analysis," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 8(2), pages 92-104, June.
    22. Ayse İmrohoroĝlu & Antonio Merlo & Peter Rupert, 2006. "Understanding the determinants of crime," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 30(2), pages 270-284, June.
    23. Süß Philipp, 2020. "Regional Market Income Inequality and its Impact on Crime in Germany: A Spatial Panel Data Approach with Local Spillovers," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(4), pages 387-415, August.
    24. Ågren, Martin, 2006. "Prospect Theory and Higher Moments," Working Paper Series 2006:24, Uppsala University, Department of Economics.
    25. Dongxu Wu & Zhongmin Wu, 2012. "Crime, inequality and unemployment in England and Wales," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3765-3775, October.

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    More about this item

    Keywords

    Crime; Earnings dynamics; Inequality;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J39 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Other
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General

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