Machine Learning with Screens for Detecting Bid-Rigging Cartels
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- Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
References listed on IDEAS
- A. Banerji & J.V. Meenakshi, 2004.
"Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 236-253.
- A. Banerji and J.V.Meenakshi & J.V.Meenakshi, 2002. "Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis," Working papers 104, Centre for Development Economics, Delhi School of Economics.
- Feinstein, Jonathan S & Block, Michael K & Nold, Frederick C, 1985. "Asymmetric Information and Collusive Behavior in Auction Markets," American Economic Review, American Economic Association, vol. 75(3), pages 441-460, June.
- Markus Frölich & Martin Huber, 2019.
"Including Covariates in the Regression Discontinuity Design,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
- Frölich, Markus & Huber, Martin, 2017. "Including covariates in the regression discontinuity design," FSES Working Papers 489, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Frölich, Markus & Huber, Martin, 2017. "Including Covariates in the Regression Discontinuity Design," IZA Discussion Papers 11138, Institute of Labor Economics (IZA).
- Kai Hüschelrath & Tobias Veith, 2014.
"Cartel Detection in Procurement Markets,"
Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 35(6), pages 404-422, September.
- Hüschelrath, Kai & Veith, Tobias, 2011. "Cartel detection in procurement markets," ZEW Discussion Papers 11-066, ZEW - Leibniz Centre for European Economic Research.
- Victor Chernozhukov & Christian Hansen & Martin Spindler, 2016.
"hdm: High-Dimensional Metrics,"
CeMMAP working papers
37/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Chris Hansen & Martin Spindler, 2016. "hdm: High-Dimensional Metrics," Papers 1608.00354, arXiv.org.
- Victor Chernozhukov & Christian Hansen & Martin Spindler, 2016. "hdm: High-Dimensional Metrics," CeMMAP working papers CWP37/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Patrick Bajari & Lixin Ye, 2003.
"Deciding Between Competition and Collusion,"
The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 971-989, November.
- Patrick Bajari & Lixin Ye, 2001. "Deciding Between Competition and Collusion," Working Papers 01008, Stanford University, Department of Economics.
- Porter, Robert H & Zona, J Douglas, 1993.
"Detection of Bid Rigging in Procurement Auctions,"
Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 518-538, June.
- Robert H. Porter & J. Douglas Zona, 1992. "Detection of Bid Rigging in Procurement Auctions," NBER Working Papers 4013, National Bureau of Economic Research, Inc.
- Martin E Andresen & Martin Huber, 2021.
"Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction,"
The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
- Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Imhof, David, 2017. "Econometric tests to detect bid-rigging cartels: does it work?," FSES Working Papers 483, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Aryal, Gaurab & Gabrielli, Maria F., 2013.
"Testing for collusion in asymmetric first-price auctions,"
International Journal of Industrial Organization, Elsevier, vol. 31(1), pages 26-35.
- Gaurab Aryal & Maria F. Gabrielli, 2011. "Testing for Collusion in Asymmetric First-Price Auctions," ANU Working Papers in Economics and Econometrics 2011-564, Australian National University, College of Business and Economics, School of Economics.
- Juan Jiménez & Jordi Perdiguero, 2012.
"Does Rigidity of Prices Hide Collusion?,"
Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 41(3), pages 223-248, November.
- Juan Luis Jiménez & Jordi Perdiguero, 2011. "Does Rigidity of Prices Hide Collusion?," IREA Working Papers 201120, University of Barcelona, Research Institute of Applied Economics, revised Oct 2011.
- Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997.
"Bidder Collusion at Forest Service Timber Sales,"
Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-699, August.
- Marshall, R.C. & Richard J.F., 1995. "Bider Collusion at Forest Service Timber Sales," Papers 7-95-3, Pennsylvania State - Department of Economics.
- Abrantes-Metz, Rosa M. & Froeb, Luke M. & Geweke, John & Taylor, Christopher T., 2006. "A variance screen for collusion," International Journal of Industrial Organization, Elsevier, vol. 24(3), pages 467-486, May.
- Martin Pesendorfer, 2000. "A Study of Collusion in First-Price Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 381-411.
- Imhof, David, 2017. "Simple Statistical Screens to Detect Bid Rigging," FSES Working Papers 484, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Robert H. Porter & J. Douglas Zona, 1999.
"Ohio School Milk Markets: An Analysis of Bidding,"
RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 263-288, Summer.
- Robert H. Porter & J. Douglas Zona, 1997. "Ohio School Milk Markets: An Analysis of Bidding," NBER Working Papers 6037, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Chris Hansen & Martin Spindler, 2016. "High-Dimensional Metrics in R," Papers 1603.01700, arXiv.org, revised Aug 2016.
- Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021.
"Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students,"
Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
- Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira & Solovyeva, Anna, 2017. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," FSES Working Papers 487, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Ranon Chotibhongs & David Arditi, 2012. "Analysis of collusive bidding behaviour," Construction Management and Economics, Taylor & Francis Journals, vol. 30(3), pages 221-231, January.
- David Imhof & Yavuz Karagök & Samuel Rutz, 2018. "Screening For Bid Rigging—Does It Work?," Journal of Competition Law and Economics, Oxford University Press, vol. 14(2), pages 235-261.
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- Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022.
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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.
- Max Berre, 2022. "Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?," Post-Print hal-03829877, HAL.
- Martinez-Carrasco, José & ConceiçaÞo, Otavio & Dezolt, Ana Lúcia, 2023. "More Information, Lower Price? Access Market-based Reference Prices and Gains in Public Procurement Efficiency," IDB Publications (Working Papers) 12754, Inter-American Development Bank.
- Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
- 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.
- Max Berre, 2022. "Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?," Papers 2210.14518, arXiv.org.
- Hannes Wallimann & Silvio Sticher, 2024. "How to Use Data Science in Economics -- a Classroom Game Based on Cartel Detection," Papers 2401.14757, arXiv.org.
- Frédéric Marty, 2022. "From Economic Evidence to Algorithmic Evidence: Artificial Intelligence and Blockchain: An Application to Anti-competitive Agreements," GREDEG Working Papers 2022-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Chengyan Gu, 2023. "Market segmentation and dynamic price discrimination in the U.S. airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 338-361, October.
- 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).
- Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
- Wallimann, Hannes & Sticher, Silvio, 2023. "On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement," Transport Policy, Elsevier, vol. 143(C), pages 121-131.
- Dmitry I. Ivanov & Alexander S. Nesterov, 2019. "Stealed-bid Auctions: Detecting Bid Leakage via Semi-Supervised Learning," Papers 1903.00261, arXiv.org, revised Nov 2020.
- David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
- Martin Huber & David Imhof & Rieko Ishii, 2022.
"Transnational machine learning with screens for flagging bid‐rigging cartels,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
- Huber, Martin & Imhof, David, 2020. "Transnational machine learning with screens for flagging bid-rigging cartels," FSES Working Papers 519, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
- 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
Bid rigging detection; screening methods; variance screen; cover bidding screen; structural and behavioural screens; machine learning; lasso; ensemble methods;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
- K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2018-04-09 (Big Data)
- NEP-CMP-2018-04-09 (Computational Economics)
- NEP-COM-2018-04-09 (Industrial Competition)
- NEP-LAW-2018-04-09 (Law and Economics)
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