IDEAS home Printed from https://ideas.repec.org/r/ucp/jpolec/doi10.1086-701812.html
   My bibliography  Save this item

Collusion in Auctions with Constrained Bids: Theory and Evidence from Public Procurement

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. David P. Brown & Andrew Eckert, 2022. "Pricing Patterns in Wholesale Electricity Markets: Unilateral Market Power or Coordinated Behavior?," Journal of Industrial Economics, Wiley Blackwell, vol. 70(1), pages 168-216, March.
  2. David Barrus & Frank Scott, 2020. "Single Bidders and Tacit Collusion in Highway Procurement Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 68(3), pages 483-522, September.
  3. Juan Ortner & Sylvain Chassang & Jun Nakabayashi & Kei Kawai, 2022. "Screening Adaptive Cartels," Working Papers 2022-23, Princeton University. Economics Department..
  4. Iossa, Elisabetta & Decarolis, Francesco & de Rassenfosse, Gaétan & Giuffrida, Leonardo Maria & Mollisi, Vincenzo & Raiteri, Emilio & Spagnolo, Giancarlo, 2019. "Buyers' Role in Innovation Procurement," CEPR Discussion Papers 13777, C.E.P.R. Discussion Papers.
  5. 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.
  6. Ricard Gil & Giorgio Zanarone, 2018. "On the determinants and consequences of informal contracting," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(4), pages 726-741, October.
  7. Antonio Estache & Renaud Foucart & Tomas Serebrisky, 2022. "When can lotteries improve public procurement processes?," Working Papers 359001116, Lancaster University Management School, Economics Department.
  8. Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).
  9. Robert Clark & Decio Coviello & Adriano De Leverano, 2020. "Complementary bidding and the collusive arrangement: Evidence from an antitrust investigation," Working Paper 1446, Economics Department, Queen's University.
  10. de Leverano, Adriano, 2019. "Collusion through market sharing agreements: Evidence from Quebec's road paving market," ZEW Discussion Papers 19-053, ZEW - Leibniz Centre for European Economic Research.
  11. Francesco Decarolis & Maris Goldmanis & Antonio Penta, 2020. "Marketing Agencies and Collusive Bidding in Online Ad Auctions," Management Science, INFORMS, vol. 66(10), pages 4433-4454, October.
  12. Sylvain Chassang & Kei Kawai & Jun Nakabayashi & Juan M. Ortner, 2019. "Data Driven Regulation: Theory and Application to Missing Bids," NBER Working Papers 25654, National Bureau of Economic Research, Inc.
  13. Rey, Patrick & Iossa, Elisabetta & Loertscher, Simon & Marx, Leslie, 2023. "Coordination in the Fight Against Collusion," TSE Working Papers 23-1441, Toulouse School of Economics (TSE).
  14. Waterson, Michael & Xie, Jian, 2019. "Testing for collusion in bus contracting in London," The Warwick Economics Research Paper Series (TWERPS) 1196, University of Warwick, Department of Economics.
  15. Francesco Decarolis & Leonardo M Giuffrida & Elisabetta Iossa & Vincenzo Mollisi & Giancarlo Spagnolo, 2020. "Bureaucratic Competence and Procurement Outcomes [“Politics and Economics in Weak and Strong States]," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 36(3), pages 537-597.
  16. Hatsumi, Kentaro & Ishii, Rieko, 2022. "The effect of price on the quality of public construction in Japan," Japan and the World Economy, Elsevier, vol. 62(C).
  17. Bruno Baranek & L. Musolff & Vitezslav Titl, 2021. "Detection of Collusive Networks in E-procurement," Working Papers 2111, Utrecht School of Economics.
  18. Zhang, Wenzhang, 2022. "Collusion enforcement in repeated first-price auctions," Theoretical Economics, Econometric Society, vol. 17(4), November.
  19. Juan Ortner & Sylvain Chassang & Jun Nakabayashi & Kei Kawai, 2020. "Screening Adaptive Cartels," Working Papers 2020-59, Princeton University. Economics Department..
  20. Legros, Patrick & Newman, Andrew F., 2017. "Demand-driven integration and divorcement policy," International Journal of Industrial Organization, Elsevier, vol. 53(C), pages 306-325.
  21. Laura Boudreau & Sylvain Chassang & Ada González-Torre & Rachel Heath, 2023. "Monitoring Harassment in Organizations," Working Papers 2022-19, Princeton University. Economics Department..
  22. 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.
  23. Francesco Decarolis & Giancarlo Spagnolo & Riccardo Pacini, 2016. "Past Performance and Procurement Outcomes," NBER Working Papers 22814, National Bureau of Economic Research, Inc.
  24. Baccara, Mariagiovanna & Asker, John & Lee, SangMok, 2021. "Patent Auctions and Bidding Coalitions: Structuring the Sale of Club Goods," CEPR Discussion Papers 15703, C.E.P.R. Discussion Papers.
  25. John Asker & Mariagiovanna Baccara & SangMok Lee, 2021. "Patent auctions and bidding coalitions: structuring the sale of club goods," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 662-690, September.
  26. Sylvain Chassang & Kei Kawai & Jun Nakabayashi & Juan Ortner, 2022. "Robust Screens for Noncompetitive Bidding in Procurement Auctions," Econometrica, Econometric Society, vol. 90(1), pages 315-346, January.
  27. Avidit Acharya & Robin Harding & J. Andrew Harris, 2020. "Security in the absence of a state: Traditional authority, livestock trading, and maritime piracy in northern Somalia," Journal of Theoretical Politics, , vol. 32(4), pages 497-537, October.
  28. Mark J. Garmaise & Gabriel Natividad, 2024. "Fiscal windfalls and entrepreneurship: fostering entry or promoting incumbents?," Small Business Economics, Springer, vol. 62(1), pages 133-158, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.