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Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs

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  • Livio Di Matteo

    (Lakehead University)

  • Robert Petrunia

    (Lakehead University)

Abstract

National and international research documents a relationship between greater economic inequality and higher homicide rates. However, much of this work uses simple cross sections at high levels of aggregation rather than longer time series of cities or districts and lacks controls for a more substantial range of confounding factors. Using longitudinal Canadian provincial-level data over the period 1982 to 2017, we occasionally find a positive correlation between inequality and homicides rates. However, the relationship between income inequality and homicide rates in Canada reverses to become negative when looking at Canadian census metropolitan areas (CMAs). Moreover, the province-level result between greater inequality and homicide rates also appears to break down once accounting for regional effects. We conclude that much of the literature that finds a relationship between greater economic inequality and homicide rates needs to be re-examined within a longer time and more disaggregated framework.

Suggested Citation

  • Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.
  • Handle: RePEc:spr:empeco:v:62:y:2022:i:6:d:10.1007_s00181-021-02115-2
    DOI: 10.1007/s00181-021-02115-2
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    1. Steven D. Levitt, 2004. "Understanding Why Crime Fell in the 1990s: Four Factors that Explain the Decline and Six that Do Not," Journal of Economic Perspectives, American Economic Association, vol. 18(1), pages 163-190, Winter.
    2. Angus Deaton, 2003. "Health, Inequality, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 113-158, March.
    3. Yutao Sun & Geert Dhaene, 2019. "xtspj: A command for split-panel jackknife estimation," Stata Journal, StataCorp LP, vol. 19(2), pages 335-374, June.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Geert Dhaene & Koen Jochmans, 2015. "Split-panel Jackknife Estimation of Fixed-effect Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 991-1030.
    6. Edward N. Wolff, 2007. "Recent Trends in Household Wealth in the United States: Rising Debt and the Middle-Class Squeeze," Economics Working Paper Archive wp_502, Levy Economics Institute.
    7. Enamorado, Ted & López-Calva, Luis F. & Rodríguez-Castelán, Carlos & Winkler, Hernán, 2016. "Income inequality and violent crime: Evidence from Mexico's drug war," Journal of Development Economics, Elsevier, vol. 120(C), pages 128-143.
    8. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    9. Philip A. Curry & Anindya Sen & George Orlov, 2016. "Crime, apprehension and clearance rates: Panel data evidence from Canadian provinces," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(2), pages 481-514, May.
    10. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    11. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    12. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    13. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    14. Caroline Freund & Sarah Oliver, 2016. "The Origins of the Superrich: The Billionaire Characteristics Database," Working Paper Series WP16-1, Peterson Institute for International Economics.
    15. Robert Petrunia, 2008. "Does Gibrat’s Law Hold? Evidence from Canadian Retail and Manufacturing Firms," Small Business Economics, Springer, vol. 30(2), pages 201-214, February.
    16. Morgan Kelly, 2000. "Inequality And Crime," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 530-539, November.
    17. Kim P. Huynh & Robert J. Petrunia, 2016. "Post-Entry Struggle for Life and Pre-Exit Shadow of Death from a Financial Perspective," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 23(1), pages 1-18, February.
    18. Enrique Moral-Benito & Paul Allison & Richard Williams, 2019. "Dynamic panel data modelling using maximum likelihood: an alternative to Arellano-Bond," Applied Economics, Taylor & Francis Journals, vol. 51(20), pages 2221-2232, April.
    19. Edward N. Wolff, 2016. "Deconstructing Household Wealth Trends in the United States, 1983 - 2013," NBER Working Papers 22704, National Bureau of Economic Research, Inc.
    20. Wilkinson, Richard G & Pickett, Kate E., 2006. "Income inequality and population health: A review and explanation of the evidence," Social Science & Medicine, Elsevier, vol. 62(7), pages 1768-1784, April.
    21. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, July.
    22. Daniel L. Hicks & Joan Hamory Hicks, 2014. "Jealous of the Joneses: conspicuous consumption, inequality, and crime," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 1090-1120.
    23. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    24. Huynh, Kim P. & Petrunia, Robert J., 2010. "Age effects, leverage and firm growth," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 1003-1013, May.
    25. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    26. Maurice J. G. Bun & Richard Kelaher & Vasilis Sarafidis & Don Weatherburn, 2020. "Crime, deterrence and punishment revisited," Empirical Economics, Springer, vol. 59(5), pages 2303-2333, November.
    27. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    28. Robert Petrunia, 2007. "Persistence of initial debt in the long-term employment dynamics of new firms," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 861-880, August.
    29. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.
    30. Robert H. Frank, 2012. "The Darwin Economy: Liberty, Competition, and the Common Good: With a new afterword by the author," Economics Books, Princeton University Press, edition 1, number 9852.
    31. James B. Davies & Livio Di Matteo, 2021. "Long Run Canadian Wealth Inequality in International Context," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 134-164, March.
    32. Leah Boustan & Fernando Ferreira & Hernan Winkler & Eric M. Zolt, 2013. "The Effect of Rising Income Inequality on Taxation and Public Expenditures: Evidence from U.S. Municipalities and School Districts, 1970–2000," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1291-1302, October.
    33. Sebastian Kripfganz & Vasilis Sarafidis, 2021. "Instrumental-variable estimation of large-T panel-data models with common factors," Stata Journal, StataCorp LP, vol. 21(3), pages 659-686, September.
    34. John Lynch & George Smith & Marianne Hillemeier & Trivellore Raghunathan & George Kaplan & Mary Shaw, 2001. "Income Inequality, the Psycho-social Environment and Health Comparisons of Wealthy Nations," LIS Working papers 269, LIS Cross-National Data Center in Luxembourg.
    35. Szwarcwald, C.L. & Bastos, F.I. & Viacava, F. & Tavares De Andrade, C.L., 1999. "Income inequality and homicide rates in Rio de Janeiro, Brazil," American Journal of Public Health, American Public Health Association, vol. 89(6), pages 845-850.
    36. James, Alex & Aadland, David, 2011. "The curse of natural resources: An empirical investigation of U.S. counties," Resource and Energy Economics, Elsevier, vol. 33(2), pages 440-453, May.
    37. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    38. Fajnzylber, Pablo & Lederman, Daniel & Loayza, Norman, 2002. "Inequality and Violent Crime," Journal of Law and Economics, University of Chicago Press, vol. 45(1), pages 1-40, April.
    39. Steven D. Levitt, 1999. "The changing relationship between income and crime victimization," Economic Policy Review, Federal Reserve Bank of New York, vol. 5(Sep), pages 87-98.
    40. Edward N. Wolff, 2010. "Recent Trends in Household Wealth in the United States-- Rising Debt and the Middle-Class Squeeze--An Update to 2007," Economics Working Paper Archive wp_589, Levy Economics Institute.
    41. Norrie, K. H., 1975. "The Rate of Settlement of the Canadian Prairies, 1870–1911," The Journal of Economic History, Cambridge University Press, vol. 35(2), pages 410-427, June.
    42. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    43. Emmanuel Saez & Michael R. Veall, 2005. "The Evolution of High Incomes in Northern America: Lessons from Canadian Evidence," American Economic Review, American Economic Association, vol. 95(3), pages 831-849, June.
    44. Enrique Moral-Benito, 2013. "Likelihood-Based Estimation of Dynamic Panels With Predetermined Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 451-472, October.
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