IDEAS home Printed from
   My bibliography  Save this paper

Crime and regional growth in Italy


  • Lanzafame, Matteo


Building on standard growth-theory models, this paper provides an empirical investigation of the effects of crime on regional economic performance in Italy, as measured by labour productivity growth. Our analysis relies on a panel of annual data on the Italian regions and, contrary to previous studies in the field, adopts a flexible and efficient panel estimation approach which controls for parameter heterogeneity, cross-section dependence and variable endogeneity via mean-group estimation, multifactor modelling and Granger-causality methods. Our results strongly support the hypothesis that crime has significant negative effects on regional growth in Italy.

Suggested Citation

  • Lanzafame, Matteo, 2013. "Crime and regional growth in Italy," MPRA Paper 44343, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:44343

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Loayza, Norman V. & Ranciere, Romain, 2006. "Financial Development, Financial Fragility, and Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 1051-1076, June.
    2. Paci, Raffaele & Pigliaru, Francesco, 1997. "Structural change and convergence: an Italian regional perspective," Structural Change and Economic Dynamics, Elsevier, vol. 8(3), pages 297-318, August.
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1989. "The Revenues-Expenditures Nexus: Evidence from Local Government Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 415-429, May.
    4. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    5. repec:dau:papers:123456789/5382 is not listed on IDEAS
    6. Daniele, Vittorio & Marani, Ugo, 2011. "Organized crime, the quality of local institutions and FDI in Italy: A panel data analysis," European Journal of Political Economy, Elsevier, vol. 27(1), pages 132-142, March.
    7. Orazio P. Attanasio & Lucio Picci & Antonello E. Scorcu, 2000. "Saving, Growth, and Investment: A Macroeconomic Analysis Using a Panel of Countries," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 182-211, May.
    8. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    9. Milo Bianchi & Paolo Buonanno & Paolo Pinotti, 2012. "Do Immigrants Cause Crime?," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1318-1347, December.
    10. Matteo Lanzafame, 2010. "The nature of regional unemployment in Italy," Empirical Economics, Springer, vol. 39(3), pages 877-895, December.
    11. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    12. Nair-Reichert, Usha & Weinhold, Diana, 2001. " Causality Tests for Cross-Country Panels: A New Look at FDI and Economic Growth in Developing Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(2), pages 153-171, May.
    13. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    14. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    15. Buonanno, Paolo & Leonida, Leone, 2009. "Non-market effects of education on crime: Evidence from Italian regions," Economics of Education Review, Elsevier, vol. 28(1), pages 11-17, February.
    16. Maffezzoli Marco, 2006. "Convergence Across Italian Regions and the Role of Technological Catch-Up," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(1), pages 1-43, August.
    17. Barry P. Bosworth & Susan M. Collins, 2003. "The Empirics of Growth: An Update," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 113-206.
    18. Paolo Pinotti, 2012. "The Economic Costs of Organized Crime: Evidence from Southern Italy," Working Papers 054, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    19. Matteo Lanzafame, 2009. "Is Regional Growth in Italy Endogenous?," Regional Studies, Taylor & Francis Journals, vol. 43(8), pages 1001-1013.
    20. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    21. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
    22. Luciano Mauro & Gaetano Carmeci, 2007. "A Poverty Trap of Crime and Unemployment," Review of Development Economics, Wiley Blackwell, vol. 11(3), pages 450-462, August.
    23. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Pawel Gajewski, 2014. "Sovereign spreads and financial market behavior before and during the crisis," Lodz Economics Working Papers 4/2014, University of Lodz, Faculty of Economics and Sociology.

    More about this item


    Crime; regional growth; panel data; multifactor modeling.;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:44343. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.