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Testing the effects of crime on the Italian economy

Author

Listed:
  • Claudio Detotto

    (Dipartimento Economia, Impresa e Regolamentazione (DEIR) and CRENoS, University of Sassari)

  • Pulina Manuela

    (School of Economics and Management, Fac. of Economics, Free Univ. Bolzano; CRENoS, Univ. Sassari)

Abstract

This paper aims at assessing the causal and temporal relationships between crime and the economic indicators related to the aggregated demand function. The case study is Italy and a quarterly frequency is used (1981:1-2005:4). A Vector Autoregressive Correction Mechanism (VECM) is employed after having assessed the integration and cointegration status of the variables under investigation. Long and short run dynamics are estimated. A Granger causality test is also implemented to establish temporal interrelationships. The main findings are that, in the short run, crime positively effects GDP and government expenditure, while has a crowding out effect on exports. In the long run, crime positively leads imports and inflation, whereas negatively investments and government expenditure.

Suggested Citation

  • Claudio Detotto & Pulina Manuela, 2010. "Testing the effects of crime on the Italian economy," Economics Bulletin, AccessEcon, vol. 30(3), pages 2063-2074.
  • Handle: RePEc:ebl:ecbull:eb-10-00465
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    File URL: http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I3-P189.pdf
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    References listed on IDEAS

    as
    1. Al-Marhubi, Fahim A., 2000. "Corruption and inflation," Economics Letters, Elsevier, vol. 66(2), pages 199-202, February.
    2. De Mello Joao M & Zilberman Eduardo, 2008. "Does Crime Affect Economic Decisions? An Empirical Investigation of Savings in a High-Crime Environment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-28, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Biagi, Bianca & Brandono, Maria Giovanna & Detotto, Claudio, 2012. "The effect of tourism on crime in Italy: A dynamic panel approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-24.
    2. Tauã Vital & Daniel Morais De Souza & Jessica Faciroli, 2020. "Unemployment, poverty and police performance: an ARDL analysis of crime in São Paulo," Economics Bulletin, AccessEcon, vol. 40(1), pages 128-139.
    3. Diana L Carreon-Guzman & Jorge Garza-Rodriguez & David R Garza-Turrubiates & Ricardo A Gonzalez-Camargo & Eugenio Lozano-Castillo, 2015. "The effects of crime on the Mexican economy: a vector error correction model," Economics Bulletin, AccessEcon, vol. 35(2), pages 959-967.

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    More about this item

    Keywords

    Crime; aggregated demand; short and long run dynamics; Granger causality;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • A1 - General Economics and Teaching - - General Economics

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