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Complexity science approach to economic crime

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  • J'anos Kert'esz
  • Johannes Wachs

Abstract

In this comment we discuss how complexity science and network science are particularly useful for identifying and describing the hidden traces of economic misbehaviour such as fraud and corruption.

Suggested Citation

  • J'anos Kert'esz & Johannes Wachs, 2020. "Complexity science approach to economic crime," Papers 2008.12364, arXiv.org.
    • Handle: RePEc:arx:papers:2008.12364
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    File URL: http://arxiv.org/pdf/2008.12364
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    References listed on IDEAS

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    1. Jørgen Juel Andersen & Niels Johannesen & Bob Rijkers, 2022. "Elite Capture of Foreign Aid: Evidence from Offshore Bank Accounts," Journal of Political Economy, University of Chicago Press, vol. 130(2), pages 388-425.
    2. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.
    3. Heywood, Paul M. & Rose, Jonathan, 2014. "“Close but no Cigar”: the measurement of corruption," Journal of Public Policy, Cambridge University Press, vol. 34(3), pages 507-529, December.
    4. Javier Garcia-Bernardo & Jan Fichtner & Eelke M. Heemskerk & Frank W. Takes, 2017. "Uncovering Offshore Financial Centers: Conduits and Sinks in the Global Corporate Ownership Network," Papers 1703.03016, arXiv.org, revised May 2017.
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    Cited by:

    1. Max Lugo Delgadillo, 2024. "The influence of femicide on criminal behavior: An empirical approach using economic complexity for crime prevention in Mexico/La influencia del feminicidio en el comportamiento criminal: un enfoque e," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 39(1), pages 121-157.

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