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Minimizing Public Sector Corruption: The Economics of Crime, Identity Economics, and Money Laundering

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  • L. Armey
  • F. Melese

Abstract

This paper offers a simple strategic framework to help governments identify various policy mechanisms to minimize public sector corruption. The paper offers a formal model that blends the economics of crime with identity economics and money laundering. It presents a partial equilibrium framework that focuses on a representative public official engaged in a mix of legal and illegal effort. The model introduces various levers a government might use to impact the costs and benefits of illegal effort. The ultimate goal is to help turn volatile vicious cycles of political instability, into steady virtuous cycles of stability, growth, and sustainable development.

Suggested Citation

  • L. Armey & F. Melese, 2018. "Minimizing Public Sector Corruption: The Economics of Crime, Identity Economics, and Money Laundering," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 840-852, November.
    • Handle: RePEc:taf:defpea:v:29:y:2018:i:7:p:840-852
    DOI: 10.1080/10242694.2017.1318013
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    Cited by:

    1. Parsaee Tabar , Azam & Abdolvand , Neda & Rajaee Harandi , Saeedeh, 2021. "Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(1), pages 1-20, March.

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