IDEAS home Printed from https://ideas.repec.org/p/cns/cnscwp/201107.html
   My bibliography  Save this paper

Cycles in Crime and Economy Revised

Author

Listed:
  • C. Detotto
  • E. Otranto

Abstract

In the last decades, the interest in the relationship between crime and business cy- cle has widely increased. It is a diffused opinion that a causal relationship goes from economic variables to criminal activities, but this causal effect is observed only for some typology of crimes, such as property crimes. In this work we examine the pos- sibility of the existence of some common factors (interpreted as cyclical components) driving the dynamics of Gross Domestic Product and a large set of criminal types by using the nonparametric version of the dynamic factor model. A first aim of this exercise is to detect some comovements between the business cycle and the cyclical component of some typologies of crime, which could evidence some relationships between these variables; a second purpose is to select which crime types are related to the business cycle and if they are leading, coincident or lagging. Italy is the case study for the time span 1991 - 1 - 2004 - 12; the crime typologies are constituted by the 22 official categories classified by the Italian National Statistical Institute. The study finds that most of the crime types show a counter-cyclical behavior with respect to the overall economic performance, and only a few of them have an evident relation- ship with the business cycle. Furthermore, some crime offenses, such as bankruptcy, embezzlement and fraudulent insolvency, seem to anticipate the business cycle, in line with recent global events.

Suggested Citation

  • C. Detotto & E. Otranto, 2011. "Cycles in Crime and Economy Revised," Working Paper CRENoS 201107, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:201107
    as

    Download full text from publisher

    File URL: https://crenos.unica.it/crenos/node/3228
    Download Restriction: no

    File URL: https://crenos.unica.it/crenos/sites/default/files/WP11-07.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph Stiglitz, 2009. "Business fluctuations and bankruptcy avalanches in an evolving network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 195-212, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Michele Caputo & Francesco Forte & Michela Mantovani, 2014. "Long-run and shorter-run criminal cycles in the public economics of public bads," Chapters, in: Francesco Forte & Ram Mudambi & Pietro Maria Navarra (ed.), A Handbook of Alternative Theories of Public Economics, chapter 22, pages 503-542, Edward Elgar Publishing.
    2. Francesco Forte & Ram Mudambi & Pietro Maria Navarra (ed.), 2014. "A Handbook of Alternative Theories of Public Economics," Books, Edward Elgar Publishing, number 14898.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    2. Marcus Box & Karl Gratzer & Xiang Lin, 2020. "Destructive entrepreneurship in the small business sector: bankruptcy fraud in Sweden, 1830–2010," Small Business Economics, Springer, vol. 54(2), pages 437-457, February.
    3. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    4. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    5. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    6. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2011. "Impact of the Topology of Global Macroeconomic Network on the Spreading of Economic Crises," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    7. Ioana Maria BUCERZAN, 2015. "The Propagation Of Insolvency Among Business In Romania," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 2, pages 64-79.
    8. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    9. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.
    10. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    11. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2018. "Policy experiments in an agent-based model with credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-17.
    12. Daiki Asanuma, 2013. "Lending attitude as a financial accelerator in a credit network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 231-247, October.
    13. Raffaella Calabrese & Galina Andreeva & Jake Ansell, 2019. "“Birds of a Feather” Fail Together: Exploring the Nature of Dependency in SME Defaults," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 71-84, January.
    14. C. Detotto & E. Otranto, 2010. "Cycles in Crime and Economy: Leading, Lagging and Coincident Behaviors," Working Paper CRENoS 201023, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    15. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    16. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2012. "Debt, deleveraging and business cycles: An agent-based perspective," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-49.
    17. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models: A New Tool for Economic and Policy Analysis," Sciences Po publications info:hdl:2441/121881fn7h9, Sciences Po.
    18. repec:hal:wpspec:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    19. Li, Zhinan & Pei, Shan & Li, Ting & Wang, Yu, 2023. "Risk spillover network in the supply chain system during the COVID-19 crisis: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    20. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, December.
    21. Michel Alexandre & Gilberto Tadeu Lima, 2020. "Combining monetary policy and prudential regulation: an agent-based modeling approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 385-411, April.
    22. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    23. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.

    More about this item

    Keywords

    business cycle; crime; common factors; dynamic factor models;
    All these keywords.

    JEL classification:

    • K0 - Law and Economics - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:cns:cnscwp:201107. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CRENoS (email available below). General contact details of provider: https://edirc.repec.org/data/crenoit.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.