How crime affects the economy: evidence from Italy

Naddeo, Andreina (2014): How crime affects the economy: evidence from Italy.

Abstract

Italy represents an interesting case study for an empirical analysis of the impact of crime on economic performance. The country, in fact, presents considerable disparities among its regions in terms of economic outcomes and crime rates. The economic performance is measured using data on regional GDP per capita, while the crime variable is given by the homicides rate (attempted and committed) per 100,000 inhabitants. Data shows that crime is higher in regions characterized by low GDP per capita. This may be due to reverse causality. GDP per capita may be lower because of the large presence of crime and the high presence of crime can be due to the economic conditions of these regions. Baseline analysis with fixed effect model shows a small negative effect of crime on GDP per capita. Results change drastically when the potential endogeneity issue is addressed. Instrumenting crime with the effective abortion rate (similar to the one developed by Levitt, 2001) and using the Two Stage Least Square method, it emerges that if the homicides rate increases by 1% than the GDP will be lower of 0.32%. System GMM estimator is used to capture the effect of crime on economic growth. Results show that the growth rate will be reduced by 0.13% if homicides rate increases of 1%. Concluding, results indicate that crime substantially affects the level of GDP per capita and economic growth across Italian regions, especially in Southern Italy, thus finding one of the possible factors explaining the Italian dualism.

• Item Type: MPRA Paper
• Language: English
• Keywords: Crime, Economic Growth, Italy, Abortion, Organized crime
• Subjects: K - Law and Economics > K0 - General > K00 - General; K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior > K42 - Illegal Behavior and the Enforcement of Law; O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence

References

Acconcia, A. et al. (2013) Mafia and Public Spending: Evidence on the Fiscal multiplier from a Quasi-experiment, CSEF working paper n. 281

Arellano, M., & Bond, S. (1991) Some tests of specication for panel data: Monte Carlo evidence and an application to employment equations, Review of Economic Studies 58: 277-97.

Arellano, M., and Bover, O. (1995) Another look at the instrumental variables estimation of error components models, Journal of Econometrics 68: 29-51.

Bandiera, O. (2003) Land Reform, the Market for Protection, and the Origins of the Sicilian Mafia: Theory and Evidence, Journal of Law, Economics and Organization, Oxford University Press, vol. 19(1), pages 218-244, April.

Barone, G. & Narciso, G. (2013) The effect of organized crime on public funds Temi di discussione, Economic working papers n.916, Bank of Italy, Economic Research and International Relations Area.

Barro R, Sala-i-Martin XX (1991) Convergence across states and regions, Brookings Papers 1:107-82

Barro R, Sala-i-Martin XX (1995) Economic Growth, McGraw-Hill, New York

Becker, G. S. (1968) Crime and Punishment: An Economic Approach, Journal of Political Economy, University of Chicago Press, vol. 76, pages 169.

Blundell, R., and Bond, S. (1998) Initial conditions and moment restrictions in dynamic panel data models, Journal of Econometrics 87: 11-143.

Bonaccorsi di Patti, E. (2009) Weak institutions and credit availability: the impact of crime on bank loans, Bank of Italy, Occasional Papers N. 52. 25

Bond, S. et al (2001) GMM Estimation of Empirical Growth Models, Discussion Paper No. 2048, Centre for Economic Policy Research.

Buonanno, P. et al. (2009) Does Social Capital Reduce Crime?, Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 145-170, 02.

Carmeci, G. & Mauro, L. (2007) A poverty trap of crime and unemployment, Review of Development Economics. 11: 450–462.

Daniele, V. (2009) Organized crime and regional development. A review of the Italian case, MPRA Paper no. 16547

Daniele, V. & Marani, U. (2010) Organized Crime and Foreign Direct Investment: The Italian Case, CESIFO Working Paper No. 2416. December 2010.

Daniele, V. & Malanima, P. (2011) Il divario Nord-Sud in Italia 1861-2011, Rubettino.

Detotto, C. & Otranto, E. (2010) Does Crime Affect Economic Growth?, KYKLOS, vol. 63, no. 3, pp. 330—345.

Donohue, J. & Steven Levitt, S. (2001). Legalized Abortion and Crime, Quarterly Journal of Economics. 116:2, pp. 379-420

Iuzzolino, G. et al. (2011) Convergence among Italian Regions, 1861- 2011, Bank of Italy, Economic History Working Papers, n. 22.

Neandis K., C. & Rana, M., P. (2013) Corruption and Organized Crime: Growth Implications for Italy, Paper presented at the RES PhD meeting, London.

Peri, G. (2004), Socio-Cultural Variables and Economic Success: Evidence from Italian Provinces 1951-1991, Berkeley Electronic Journal, Topics in Macroeconomics, vol. 4, no. 1, article 12, September. 26

Perron, P. (2006), Dealing with Structural Breaks, in Palgrave Handbook of Econometrics, Vol. 1, ed. by K. Patterson and T. C. Mills. London: Palgrave Macmillan, 278–352.

Pinotti, P. (2012), The economic costs of organized crime: evidence from southern Italy, Temi di Discussione, Banca d’Italia, no. 868.

Putnam, R. (1993) Making Democracy Work, Princeton NJ: Princeton University Press.

Putnam, R. (2000) Bowling Alone: The Collapse and Revival of American Community, New York: Simon and Schuster.

Roodman, D. (2006), How to do xtabond2: An introduction to “difference” and “system” GMM in Stata, Working Paper, Center for Global Development, Washington.

Roodman, D. (2009) A note on the theme of too many instruments, Oxford Bulletin of Economics and Statistics 71(1): 135-58.

Skaperdas, S. (2001) The Political Economy of Organized Crime: Providing Protection When the State Does Not, Economics of Governance 2 (3): 173–202.

Transcrime (2013) Gli investimenti delle mafie, Progetto PON sicurezza 2007-2.