A Structural Break Cartel Screen for Dating and Detecting Collusion
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DOI: 10.1007/s11151-018-9649-5
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Citations
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- Simon Roberts & Witness Simbanegavi & Thando Vilakazi, 2023. "Cementing regional integration or building walls? Competition, cartels and regional integration in the cement industry in Africa," The World Economy, Wiley Blackwell, vol. 46(2), pages 437-452, February.
- Holler, Emanuel & Rickert, Dennis, 2022. "How resale price maintenance and loss leading affect upstream cartel stability: Anatomy of a coffee cartel," International Journal of Industrial Organization, Elsevier, vol. 85(C).
- Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022.
"Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels,"
Energy Economics, Elsevier, vol. 105(C).
- Douglas Silveira & Silvinha Vasconcelos & Marcelo Resende & Daniel O. Cajueiro, 2021. "Won't Get Fooled Again: A Supervised Machine Learning Approach for Screening Gasoline Cartels," CESifo Working Paper Series 8835, CESifo.
- Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
- Chowdhury, Subhasish M. & Crede, Carsten J., 2020.
"Post-cartel tacit collusion: Determinants, consequences, and prevention,"
International Journal of Industrial Organization, Elsevier, vol. 70(C).
- Subhasish M. Chowdhury & Carsten J. Crede, 2015. "Post-Cartel Tacit Collusion: Determinants, Consequences, and Prevention," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-01v2, Centre for Competition Policy, University of East Anglia, Norwich, UK..
- Hannes Wallimann & David Imhof & Martin Huber, 2023.
"A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels,"
Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
- Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020.
"Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market,"
CESifo Working Paper Series
8521, CESifo.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Working Paper 1438, Economics Department, Queen's University.
- Bantle, Melissa, 2024. "Screen for collusive behavior: A machine learning approach," Hohenheim Discussion Papers in Business, Economics and Social Sciences 01-2024, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
- 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).
- Robert Clark & Ig Horstmann & Jean-Francois Houde, 2021.
"Hub-and-spoke cartels: Theory and evidence from the grocery industry,"
Working Paper
1473, Economics Department, Queen's University.
- Robert Clark & Ignatius Horstmann & Jean-François Houde, 2021. "Hub and Spoke Cartels: Theory and Evidence from the Grocery Industry," NBER Working Papers 29253, National Bureau of Economic Research, Inc.
- 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.
- Garcia Pires, Armando J. & Skjeret, Frode, 2023. "Screening for partial collusion in retail electricity markets," Energy Economics, Elsevier, vol. 117(C).
- 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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More about this item
Keywords
Antitrust; Cartel; Detection; Empirical screen;All these keywords.
JEL classification:
- D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
- L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
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