Convergence in Homicide Rates Across the European Union Countries: Toward an Effective and Genuine Security Union

Abstract

This paper investigates whether homicide rates among the European Union (EU) member countries tend to converge over the period 1990 to 2018. We use the concept of β-convergence proposed by Barro and Sala-i-Martin (1992) and employ the Generalized Method of Moments (GMM, hereafter) methodology for 2-years span panel data of 26 EU member countries. The results provide strong evidence for both absolute and conditional convergence of homicide rates across EU countries. Moreover, speed of homicide convergence is increased by the control variables, namely GDP per capita and unemployment rate. Hence, we conclude that the economic integration contributes to the process of convergence in homicide rates in the EU.

JEL classification: O47; C23; K42

Keywords

homicide rates convergence the European Union

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References

Aebi

M. F.

Linde

(2012). Conviction statistics as an indicator of crime trends in Europe from 1990 to 2006. European Journal on Criminal Policy and Research, 18(1), 103–144.

Allen

R. C.

(1996). Socioeconomic conditions and property crime: A comprehensive review and test of the professional literature. American Journal of Economics and Sociology, 55(3), 293–308.

Arellano

Bond

(1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297.

Arellano

Bover

(1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51.

Barro

R. J.

Sala-i-Martin

(1992). Convergence. Journal of Political Economy, 100(2), 223–251.

Baumer

E. P.

Wolff

K. T.

(2014). The breadth and causes of contemporary cross-national homicide trends. Crime and Justice, 43(1), 231–287.

Bennett

R. R.

Lynch

J. P.

(1990). Does a difference make a difference? Comparing cross-national crime indicators. Criminology, 28(1), 153–181.

Bergman

(2018). More money, more crime: Prosperity and rising crime in Latin America. Oxford University Press. https://doi.org/10.1093/oso/9780190608774.001.0001

Blau

J. R.

Blau

P. M.

(1982). The cost of inequality: Metropolitan structure and violent crime. American Sociological Review, 47(1), 114–129.

10.

Blundell

Bond

(1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.

11.

Bohm

R. M.

(1982). Radical criminology: An explication. Criminology, 19(4), 565–589.

12.

Bond

S. R.

Hoeffler

Temple

J. R.

(2001). GMM estimation of empirical growth models, Discussion Paper No. 2048, Centre for Economic Policy Research.

13.

Bruno

G. S.

(2005). Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals. The Stata Journal, 5(4), 473–500.

14.

Bushway

S. D.

Reuter

(2011). Labor markets and crime. In Wilson

J. Q.

Petersilia

(Eds.), Crime and Public Policy (pp. 183–209). Oxford University Press.

15.

Cantor

Land

K. C.

(1985). Unemployment and crime rates in the post-World War II United States: A theoretical and empirical analysis. American Sociological Review, 50(3), 317.

16.

Cantor

Land

K. C.

(2001). Unemployment and crime rate fluctuations: A comment on Greenberg. Journal of Quantitative Criminology, 17(4), 329–342.

17.

Carlson

S. M.

Michalowski

R. J.

(1997). Crime, unemployment, and social structures of accumulation: An inquiry into historical contingency. Justice Quarterly, 14(2), 209–241.

18.

Caselli

Esquivel

Lefort

(1996). Reopening the convergence debate: A new look at cross-country growth empirics. Journal of Economic Growth, 1(3), 363–389.

19.

Chang

Y. S.

Choi

(2016). Can we predict long-term future crime rates? A projection of crime rates through 2030 for individual states in the USA. International Journal of Society Systems Science, 8(3), 205–225.

20.

Çiftçi

D. D.

Akkoç

G. K.

(2019). Convergence of crime in Turkey: Time series analysis with accounting structural breaks. Finans Politik & Ekonomik Yorumlar, 56(647), 101–123.

21.

Cook

Winfield

(2013). Crime across the states: Are US crime rates converging? Urban Studies, 50(9), 1724–1741.

22.

Dijk

J. van.

Tseloni

(2012). Global overview: International trends in victimization and recorded crime. In van Dijk

J. J. M.

Tseloni

Farrell

(Eds.), The international crime drop: New directions in research. (pp. 11–36). Palgrave Macmillan.

23.

Durkheim

(1951). Suicide: A study in sociology ( Spaulding

J. A.

Simpson

, trans.). Free Press. (Original Work Published 1897).

24.

Elias

(2000). The civilizing process: Sociogenetic and psychogenetic investigations ( Jephcott

, trans.). Blackwell.

25.

Fajnzylber

Lederman

Loayza

(1998). Determinants of crime rates in Latin America and the world: An empirical assessment. World Bank Publications.

26.

Fajnzylber

Lederman

Loayza

(2002). What causes violent crime? European Economic Review, 46(7), 1323–1357.

27.

Fajnzylber

Lederman

Loayza

Reuter

Roman

Gaviria

(2000). Crime and victimization: An economic perspective [with comments]. Economia, 1(1), 219–302.

28.

Fondevila

Massa

(2018). Convergence dynamics of robbery rates in Mexico. Crime & Delinquency, 64(14), 1925–1950.

29.

Gartner

(1990). The victims of homicide: A temporal and cross-national comparison. American Sociological Review, 55(1), 92–106.

30.

Gould

E. D.

Weinberg

B. A.

Mustard

D. B.

(2002). Crime rates and local labor market opportunities in the United States: 1979–1997. Review of Economics and Statistics, 84(1), 45–61.

31.

Greenberg

(1980). Law and development in light of dependency theory. In Spitzer

(Ed.), Research in Law and Sociology (pp. 129–59). JAI Press.

32.

Gurr

T. R.

(1981). Historical trends in violent crime: A critical review of the evidence. Crime and Justice, 3, 295–353.

33.

Hale

Sabbagh

(1991). Testing the relationship between unemployment and crime: A methodological comment and empirical analysis using time series data from England and Wales. Journal of Research in Crime and Delinquency, 28(4), 400–417.

34.

Hansen

L. P.

(1982). Large sample properties of generalized method of moments estimators. Econometrica: Journal of the Econometric Society, 50(4), 1029–1054.

35.

Hauk

W. R.

Wacziarg

(2009). A Monte Carlo study of growth regressions. Journal of Economic Growth, 14(2), 103–147.

36.

Hoeffler

(2002). The augmented Solow model and the African growth debate. SSRN 313705. https://ssrn.com/abstract=313705

37.

Hsiao

(2014). Analysis of panel data. Cambridge university press.

38.

Islam

(1995). Growth empirics: A panel data approach. The Quarterly Journal of Economics, 110(4), 1127–1170.

39.

Kelly

(2000). Inequality and crime. Review of Economics and Statistics, 82(4), 530–539.

40.

Kollias

Leventi

Messis

(2018). Converging crime rates among European countries? A note. International Journal of Social Economics, 45(3), 524–534.

41.

La FREE

Drass

K. A

. (2002). Counting crime booms among nations: Evidence for homicide victimization rates, 1956 to 1998. Criminology, 40(4), 769–800.

42.

LaFree

(2005). Evidence for elite convergence in cross-national homicide victimization trends, 1956 to 2000. The Sociological Quarterly, 46(1), 191–211.

43.

Lynch

J. P.

Pridemore

W. A.

(2011). Crime in international perspective. In Wilson

J. Q.

Petersilia

(Eds.), Crime and Public Policy, (pp. 5–52). Oxford University Press.

44.

Mancik

A. M.

Hawk

S. R.

Jarvis

J. P.

Regoeczi

W. C.

(2021). Evaluating fluctuations in homicide: Crowdsourcing trends and assessing sentiments of change. Journal of Crime and Justice, 44(5), 553–578.

45.

McDowall

Loftin

(2005). Are US crime rate trends historically contingent? Journal of Research in Crime and Delinquency, 42(4), 359–383.

46.

McDowall

Loftin

(2009). Do US city crime rates follow a national trend? The influence of nationwide conditions on local crime patterns. Journal of Quantitative Criminology, 25(3), 307–324.

47.

Messner

S. F.

(1982). Poverty, inequality, and the urban homicide rate: Some unexpected findings. Criminology, 20(1), 103–114.

48.

Messner

S. F.

Rosenfeld

(2009). Institutional anomie theory: A macro-sociological explanation of crime. In Krohn

M. D.

Lizotee

A. J.

Hall

G. P.

(Eds.), Handbook on crime and deviance (pp. 209–224). Springer.

49.

Neapolitan

J. L.

Neapolitan

J. K.

Neapolitan

(1997). Cross-national crime: A research review and sourcebook. Greenwood.

50.

Nickell

(1981). Biases in dynamic models with fixed effects. Econometrica: Journal of the Econometric Society, 49(6), 1417–1426.

51.

Pinker

(2011). The better angels of our nature: Why violence has declined. Viking.

52.

Pratt

T. C.

Godsey

T. W.

(2003). Social support, inequality, and homicide: A cross-national test of an integrated theoretical model. Criminology, 41(3), 611–644.

53.

Rennó Santos

Testa

Porter

L. C.

Lynch

J. P

. (2019). The contribution of age structure to the international homicide decline. PloS One, 14(10), e0222996.

54.

Rogers

M. L.

Pridemore

W. A.

(2017). Geographic and temporal variation in cross-national homicide victimization rates. In Brookman

Maguire

E. R.

Maguire

(Eds.), The handbook of homicide (pp. 20–43). Wiley-Blackwell.

55.

Rogers

M. L.

Pridemore

W. A.

(2018). Do national homicide rates follow supranational trends? Journal of Research in Crime and Delinquency, 55(6), 691–727.

56.

Roodman

(2009a). A note on the theme of too many instruments. Oxford Bulletin of Economics and Statistics, 71(1), 135–158.

57.

Roodman

(2009b). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86–136.

58.

Rosenfeld

(2016). Documenting and explaining the 2015 homicide rise: Research directions. National Institute of Justice, U.S. Department of Justice.

59.

Rosenfeld

Gaston

Spivak

Irazola

(2017). Assessing and responding to the recent homicide rise in the United States. National Institute of Justice, U.S. Department of Justice.

60.

Shelley

L. I.

(1981). Crime and modernization: The impact of industrialization and urbanization on crime. Southern Illinois University Press Carbondale.

61.

Soares

R. R.

(2004). Crime reporting as a measure of institutional development. Economic Development and Cultural Change, 52(4), 851–871.

62.

Taylor

Walton

Young

(2013). The new criminology: For a social theory of deviance. Routledge.

63.

Tseloni

Mailley

Farrell

Tilley

(2010). Exploring the international decline in crime rates. European Journal of Criminology, 7(5), 375–394.

64.

Tuttle

McCall

P. L.

Land

K. C.

(2018). Latent trajectories of cross-national homicide trends: Structural characteristics of underlying groups. Homicide Studies, 22(4), 343–369.

65.

Windmeijer

(2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51.

66.

Winsberg

M. D.

(1993). Are crime waves in the United States regional or national? Journal of Criminal Justice, 21(5), 517–520.

67.

Yearwood

D. L.

Koinis

(2011). Revisiting property crime and economic conditions: An exploratory study to identify predictive indicators beyond unemployment rates. The Social Science Journal, 48(1), 145–158.