Advanced Search
MyIDEAS: Login

Simulation and Prosecution of a Cartel with Endogenous Cartel Formation

Contents:

Author Info

  • Johannes Paha

    ()
    (Justus-Liebig-University Gießen)

Abstract

In many cases, collusive agreements are formed by asymmetric firms and include only a subset of the firms active in the cartelized industry. This paper endogenizes the process of cartel formation in a numeric simulation model where firms differ in marginal costs and production technologies. The paper models the incentive to collude in a differentiated products Bertrand-oligopoly. Cartels are the outcomes of a dynamic formation game in mixed strategies. I find that the Nash-equilibrium of this complex game can be obtained efficiently by a Differential Evolution stochastic optimization algorithm. It turns out that large firms have a higher probability to collude than small firms. Since firms' characteristics evolve over time, the simulation is used to generate data of costs, prices, output-quantities, and profits. This data forms the basis for an evaluation of empirical methods used in the detection of cartels.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/07-2010_paha.pdf
File Function: First version, 2010
Download Restriction: no

Bibliographic Info

Paper provided by Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) in its series MAGKS Papers on Economics with number 201007.

as in new window
Length: 37 pages
Date of creation: 2010
Date of revision:
Publication status: Forthcoming in
Handle: RePEc:mar:magkse:201007

Contact details of provider:
Postal: Universitätsstraße 25, 35037 Marburg
Phone: 06421/28-1722
Fax: 06421/28-4858
Email:
Web page: http://www.uni-marburg.de/fb02/
More information through EDIRC

Related research

Keywords: Collusion; Cartel Detection; Cartel Formation; Differential Evolution; Heuristic Optimization; Industry Simulation;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Norma Olaizola, 2007. "Cartel formation and managerial incentives," Spanish Economic Review, Springer, vol. 9(3), pages 219-236, September.
  2. Edward J Green & Robert H Porter, 1997. "Noncooperative Collusion Under Imperfect Price Information," Levine's Working Paper Archive 1147, David K. Levine.
  3. Effrosyni Diamantoudi, 2005. "Stable cartels revisited," Economic Theory, Springer, vol. 26(4), pages 907-921, November.
  4. Iwan Bos & Joseph E. Harrington, Jr., 2008. "Endogenous Cartel Formation with Heterogeneous Firms," Economics Working Paper Archive 544, The Johns Hopkins University,Department of Economics, revised Nov 2008.
  5. d'ASPREMONT, Claude & JACQUEMIN, Alexis & GABSZEWICZ, Jean J. & WEYMARK, John A., . "On the stability of collusive price leadership," CORE Discussion Papers RP -522, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Friedman, James W, 1971. "A Non-cooperative Equilibrium for Supergames," Review of Economic Studies, Wiley Blackwell, vol. 38(113), pages 1-12, January.
  7. Porter, Robert H, 1985. "On the Incidence and Duration of Price Wars," Journal of Industrial Economics, Wiley Blackwell, vol. 33(4), pages 415-26, June.
  8. Jenny X. Li & Peter Winker, 2003. "Time Series Simulation with Quasi Monte Carlo Methods," Computational Economics, Society for Computational Economics, vol. 21(1_2), pages 23-43, 02.
  9. Tom Ross, 1990. "Cartel Stability And Product Differentiation," Carleton Industrial Organization Research Unit (CIORU) 90-04, Carleton University, Department of Economics.
  10. Rotemberg, Julio J & Saloner, Garth, 1986. "A Supergame-Theoretic Model of Price Wars during Booms," American Economic Review, American Economic Association, vol. 76(3), pages 390-407, June.
  11. Prokop, Jacek, 1999. "Process of dominant-cartel formation," International Journal of Industrial Organization, Elsevier, vol. 17(2), pages 241-257, February.
  12. Helder Vasconcelos, 2005. "Tacit Collusion, Cost Asymmetries, and Mergers," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 39-62, Spring.
  13. Hinloopen, Jeroen, 2006. "Internal cartel stability with time-dependent detection probabilities," International Journal of Industrial Organization, Elsevier, vol. 24(6), pages 1213-1229, November.
  14. Donsimoni, Marie-Paule, 1985. "Stable heterogeneous cartels," International Journal of Industrial Organization, Elsevier, vol. 3(4), pages 451-467, December.
  15. Protopapas, M.K. & Kosmatopoulos, E.B. & Battaglia, F., 2009. "Coevolutionary Genetic Algorithms for Establishing Nash Equilibrium in Symmetric Cournot Games," MPRA Paper 15375, University Library of Munich, Germany.
  16. Johannes Paha, 2011. "Empirical methods in the analysis of collusion," Empirica, Springer, vol. 38(3), pages 389-415, July.
  17. Stephen Davies & Matthew Olczak, 2008. "Tacit versus Overt Collusion Firm Asymmetries and Numbers: What’s the Evidence?," Working Papers 08-32, Centre for Competition Policy, University of East Anglia.
  18. Compte, Olivier & Jenny, Frederic & Rey, Patrick, 2002. "Capacity constraints, mergers and collusion," European Economic Review, Elsevier, vol. 46(1), pages 1-29, January.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:mar:magkse:201007. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bernd Hayo).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.