2023
DOI: 10.1007/s11205-023-03238-y
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Validating Corruption Risk Measures: A Key Step to Monitoring SDG Progress

Michela Gnaldi,
Simone Del Sarto

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… Show more

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Cited by 3 publications
(1 citation statement)
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“…Overall, the paper intends to lay the seeds for future research, which will later apply the proposed measurement framework to real crisis contexts and, possibly, evaluate its quality by tracing actual corruption cases back to the proposed selection. Such an ex-post evaluation is, however, challenging as it implies considerations on the validity of the red flag indicators, a complex and still largely unexplored issue in the current scientific literature on the subject (Gnaldi & Del Sarto, 2023). By definition, red flags are valid when they accurately identify instances of corruption.…”
Section: Discussion and Future Developmentsmentioning
confidence: 99%
“…Overall, the paper intends to lay the seeds for future research, which will later apply the proposed measurement framework to real crisis contexts and, possibly, evaluate its quality by tracing actual corruption cases back to the proposed selection. Such an ex-post evaluation is, however, challenging as it implies considerations on the validity of the red flag indicators, a complex and still largely unexplored issue in the current scientific literature on the subject (Gnaldi & Del Sarto, 2023). By definition, red flags are valid when they accurately identify instances of corruption.…”
Section: Discussion and Future Developmentsmentioning
confidence: 99%