A network approach to cartel detection in public auction markets
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Citations
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Cited by:
- Andreas Christos Pliatsidis, 2024. "Analyzing concentration in the Greek public procurement market: a network theory approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(2), pages 431-480, June.
- De Leverano, Adriano, 2023. "Clustered bids in first-price auctions: Collusion or competition?," Economics Letters, Elsevier, vol. 233(C).
- Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
- Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
- Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2023.
"Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 376-403.
- Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2021. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," Working Papers 2021-76, Princeton University. Economics Department..
- Kei Kawai & Jun Nakabayashi & Juan M. Ortner & Sylvain Chassang, 2022. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," NBER Working Papers 29625, National Bureau of Economic Research, Inc.
- Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
- Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
- Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).
- Lucas Potin & Rosa Figueiredo & Vincent Labatut & Christine Largeron, 2023. "Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement," Post-Print hal-04131485, HAL.
- J'anos Kert'esz & Johannes Wachs, 2020. "Complexity science approach to economic crime," Papers 2008.12364, arXiv.org.
- Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.
- Ribeiro, Haroldo V. & Lopes, Diego D. & Pessa, Arthur A.B. & Martins, Alvaro F. & da Cunha, Bruno R. & Gonçalves, Sebastián & Lenzi, Ervin K. & Hanley, Quentin S. & Perc, Matjaž, 2023. "Deep learning criminal networks," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
- Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.
- Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
- Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).
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This paper has been announced in the following NEP Reports:- NEP-CDM-2019-06-17 (Collective Decision-Making)
- NEP-COM-2019-06-17 (Industrial Competition)
- NEP-CTA-2019-06-17 (Contract Theory and Applications)
- NEP-DES-2019-06-17 (Economic Design)
- NEP-IND-2019-06-17 (Industrial Organization)
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