---
title: Detecting Collusion in Public Procurement
url: https://www.ml-quant.com/papers/repec/spr-jcsosc-v-7-y-2024-i-2-d-10-1007-s42001-024-00293-4/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:spr:jcsosc:v:7:y:2024:i:2:d:10.1007_s42001-024-00293-4
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs42001-024-00293-4%3Bh%3Drepec%3Aspr%3Ajcsosc%3Av%3A7%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s42001-024-00293-4
featured: 2024-10-09
citations: unknown
topic: Other
---


# Detecting Collusion in Public Procurement

A new algorithm has been developed to detect collusion in auctions using public procurement data, identifying a significant number of contracts with high collusion likelihood.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs42001-024-00293-4%3Bh%3Drepec%3Aspr%3Ajcsosc%3Av%3A7%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s42001-024-00293-4
- Identifier: RePEc:spr:jcsosc:v:7:y:2024:i:2:d:10.1007_s42001-024-00293-4
- Released: 2024-10-09
- First featured: Quant Letter No. 69 (2024-10-09): https://www.ml-quant.com/issues/2024-10-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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