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

Michela Gnaldi () and Simone Del Sarto ()
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Michela Gnaldi: University of Perugia
Simone Del Sarto: University of Perugia

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2024, vol. 175, issue 3, No 15, 1045-1071

Abstract: 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.

Keywords: Corruption risk; SDG 16; Red flag indicators; Validity assessment; Item Response Theory; Multidimensional graded response model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11205-023-03238-y

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