IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_7687.html
   My bibliography  Save this paper

Money laundering and corruption: birds of a feather flock together

Author

Listed:
  • Raffaella Barone
  • Donato Masciandaro
  • Friedrich Schneider

Abstract

This paper is the first to analyse the three-way relationship among money laundering, anti-money-laundering efforts and corruption. On the one hand, if we assume that the goal of criminals involved in corruption is to minimize the probability of being detected, then corruption represents a demand for money laundering (trigger effect), while money laundering can serve as an effective way to clean the revenue from corruption for re-investment (multiplier effect). On the other hand, criminals can try to maximize the likelihood that anti-money-laundering activities will be ineffective. Corruption can be an effective device for maximizing this likelihood, as organized crime may corrupt financial institutions – both regulators and regulated firms – in order to prevent crime detection (accelerator effect). The paper proposes a novel theoretical framework for these interconnections, which is then used to simulate the three effects in 101 countries for the period 1990 to 2040.

Suggested Citation

  • Raffaella Barone & Donato Masciandaro & Friedrich Schneider, 2019. "Money laundering and corruption: birds of a feather flock together," CESifo Working Paper Series 7687, CESifo.
    • Handle: RePEc:ces:ceswps:_7687
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp7687.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Axel Dreher & Friedrich Schneider, 2010. "Corruption and the shadow economy: an empirical analysis," Public Choice, Springer, vol. 144(1), pages 215-238, July.
    2. Raffaella Barone & Domenico Delle Side & Donato Masciandaro, 2018. "Drug trafficking, money laundering and the business cycle: Does secular stagnation include crime?," Metroeconomica, Wiley Blackwell, vol. 69(2), pages 409-426, May.
    3. Leandro Medina & Mr. Friedrich Schneider, 2018. "Shadow Economies Around the World: What Did We Learn Over the Last 20 Years?," IMF Working Papers 2018/017, International Monetary Fund.
    4. Dalla Pellegrina Lucia & Masciandaro Donato, 2009. "The Risk-Based Approach in the New European Anti-Money Laundering Legislation: A Law and Economics View," Review of Law & Economics, De Gruyter, vol. 5(2), pages 931-952, December.
    5. Raffaella Barone, 2018. "The Italian CCB Reform and Usury Credit Risk: A Quantitative Analysis," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 4(3), pages 463-496, November.
    6. Raffaella Barone & Donato Masciandaro, 2011. "Organized crime, money laundering and legal economy: theory and simulations," European Journal of Law and Economics, Springer, vol. 32(1), pages 115-142, August.
    Full references (including those not matched with items on IDEAS)

    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. Raffaella Barone & Donato Masciandaro & Friedrich Schneider, 2022. "Corruption and money laundering: You scratch my back, i’ll scratch yours," Metroeconomica, Wiley Blackwell, vol. 73(1), pages 318-342, February.
    2. Raffaella Barone & Donato Masciandaro, 2019. "Cryptocurrency or usury? Crime and alternative money laundering techniques," European Journal of Law and Economics, Springer, vol. 47(2), pages 233-254, April.
    3. Phoebe W. Ishak & Mohammad Reza Farzanegan, 2022. "Oil price shocks, protest, and the shadow economy: Is there a mitigation effect?," Economics and Politics, Wiley Blackwell, vol. 34(2), pages 298-321, July.
    4. Md. Harun Ur Rashid & Noman Uddin & Md. Shariful Haque & Syed Zabid Hossain, 2022. "Good governance and tax evasion: mediating effect of socioeconomic conditions," Asia-Pacific Journal of Regional Science, Springer, vol. 6(2), pages 759-776, June.
    5. Khorana, Sangeeta & Caram, Santiago & Biagetti, Marco, 2021. "Vicious Circle or New Paradigm? Exploring the Impact of Shadow Economy on Labour Market in Latin America and Eurozone," GLO Discussion Paper Series 983, Global Labor Organization (GLO).
    6. Monica Violeta Achim & Sorin Nicolae Borlea & Lucian Vasile Găban & Alin Adrian Mihăilă, 2019. "The Shadow Economy and Culture: Evidence in European Countries," Eastern European Economics, Taylor & Francis Journals, vol. 57(5), pages 352-374, September.
    7. Ibrahim Ngouhouo & Loudi Njoya & Simplice A. Asongu, 2022. "Corruption, Economic Growth and the Informal Sector: Empirical Evidence from Developing Countries," Working Papers 22/014, European Xtramile Centre of African Studies (EXCAS).
    8. Lv, Zhike, 2020. "Does tourism affect the informal sector?," Annals of Tourism Research, Elsevier, vol. 80(C).
    9. Joseph Keneck-Massil & Alphonse Noah, 2019. "Shadow economy and educational systems in Africa," Economics Bulletin, AccessEcon, vol. 39(2), pages 1467-1478.
    10. Nguyen, Canh Phuc, 2022. "Does economic complexity matter for the shadow economy?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 210-227.
    11. Nedra Baklouti & Younes Boujelbene, 2020. "A simultaneous equation model of economic growth and shadow economy: Is there a difference between the developed and developing countries?," Economic Change and Restructuring, Springer, vol. 53(1), pages 151-170, February.
    12. Raffaella Barone, 2018. "The Italian CCB Reform and Usury Credit Risk: A Quantitative Analysis," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 4(3), pages 463-496, November.
    13. Cong Minh Huynh & Hoai Nam Tran, 2021. "Moderating effects of corruption and informality on the fiscal decentralization—economic growth nexus: Insights from OECD countries," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(2), pages 355-373, June.
    14. Shamaila Butt & Faisal FAISAL & Muhammad Ali Chohan & Adnan Ali & Suresh Ramakrishnan, 2024. "Do Shadow Economy and Institutions Lessen the Environmental Pollution? Evidence from Panel of ASEAN-9 Economies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4800-4828, March.
    15. Răzvan Hoinaru & Daniel Buda & Sorin Nicolae Borlea & Viorela Ligia Văidean & Monica Violeta Achim, 2020. "The Impact of Corruption and Shadow Economy on the Economic and Sustainable Development. Do They “Sand the Wheels” or “Grease the Wheels”?," Sustainability, MDPI, vol. 12(2), pages 1-27, January.
    16. Cong Minh Huynh & Tan Loi Nguyen, 2020. "Fiscal policy and shadow economy in Asian developing countries: does corruption matter?," Empirical Economics, Springer, vol. 59(4), pages 1745-1761, October.
    17. Raga Hudori & Elia Mustikasari, 2020. "The Strength of Audits, Reporting Standards and Corruption, on Tax Evasion: A Cross-Country Study," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 554-567.
    18. Ahmad, Waqar & Hussain, Babar, 2023. "Fiscal Policy Effects on Shadow Economy: Empirical Evidence from Developing Countries," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 30(2), July.
    19. Luc Jacolin & Joseph Keneck Massil & Alphonse Noah, 2021. "Informal sector and mobile financial services in emerging and developing countries: Does financial innovation matter?," The World Economy, Wiley Blackwell, vol. 44(9), pages 2703-2737, September.
    20. Mara, Eugenia Ramona, 2021. "Drivers of the shadow economy in European Union welfare states: A panel data analysis," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 309-325.

    More about this item

    Keywords

    money laundering; corruption; calibration;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K20 - Law and Economics - - Regulation and Business Law - - - General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    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:ces:ceswps:_7687. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.