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Validating Corruption Risk Measures: A Key Step to Monitoring SDG Progress

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  • Michela Gnaldi

    (University of Perugia)

  • Simone Del Sarto

    (University of Perugia)

Abstract

The Agenda 2030 recognises corruption as a major obstacle to sustainable development and integrates its reduction among SDG targets, in view of developing peaceful, just and strong institutions. In this paper, we propose a method to assess the validity of corruption indicators within an Item Response Theory framework, which explicitly accounts for the latent and multidimensional facet of corruption. Towards this main aim, a set of fifteen red flag indicators of corruption risk in public procurement is computed on data included in the Italian National Database of Public Contracts. Results show a multidimensional structure composed of sub-groups of red flag indicators i. measuring distinct corruption risk categories, which differ in nature, type and entity, and are generally non-superimposable; ii. mirroring distinct dynamics related to specific SDG principles and targets.

Suggested Citation

  • Michela Gnaldi & Simone Del Sarto, 2024. "Validating Corruption Risk Measures: A Key Step to Monitoring SDG Progress," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(3), pages 1045-1071, December.
    • Handle: RePEc:spr:soinre:v:175:y:2024:i:3:d:10.1007_s11205-023-03238-y
    DOI: 10.1007/s11205-023-03238-y
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    References listed on IDEAS

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