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Crime and regional growth in Italy

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  • Lanzafame, Matteo

Abstract

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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 44343.

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Date of creation: Feb 2013
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Handle: RePEc:pra:mprapa:44343

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

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  15. 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, Department of Economics, University of Oxford, vol. 63(2), pages 153-71, May.
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  22. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
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