Détecter et prévenir la collusion dans les marchés publics en construction: Meilleures pratiques favorisant la concurrence
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Cited by:
- Igor Sadoune & Andrea Lodi & Marcelin Joanis, 2022.
"Implementing a Hierarchical Deep Learning Approach for Simulating Multi-Level Auction Data,"
Papers
2207.12255, arXiv.org, revised Feb 2024.
- Igor Sadoune & Marcelin Joanis & Andrea Lodi, 2023. "Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data," CIRANO Working Papers 2023s-23, CIRANO.
- Stéphanie Boulenger & Marcelin Joanis, 2015.
"Analyse économique des marchés publics dans l’industrie de la construction au Québec,"
CIRANO Project Reports
2015rp-23, CIRANO.
- Stéphanie Boulenger & Marcelin Joanis, 2016. "Analyse économique des marchés publics dans l’industrie de la construction au Québec," CIRANO Papers 2016n-01f, CIRANO.
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Keywords
Collusion; cartel; construction; contracts; public bodies; public procurement; tenders; bidding; competition; best practices; bid-rigging; formation.; Collusion; cartel; construction; contrats; organismes publics; marchés publics; appel d'offres; enchère; concurrence; meilleures pratiques; truquage d'offres; soumissions concertées; formation;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-COM-2010-10-02 (Industrial Competition)
- NEP-REG-2010-10-02 (Regulation)
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