IDEAS home Printed from https://ideas.repec.org/a/kap/qmktec/v10y2012i2p197-229.html
   My bibliography  Save this article

A dynamic quality ladder model with entry and exit: Exploring the equilibrium correspondence using the homotopy method

Author

Listed:
  • Ron Borkovsky

    ()

  • Ulrich Doraszelski

    ()

  • Yaroslav Kryukov

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • Ron Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, 2012. "A dynamic quality ladder model with entry and exit: Exploring the equilibrium correspondence using the homotopy method," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 197-229, June.
  • Handle: RePEc:kap:qmktec:v:10:y:2012:i:2:p:197-229
    DOI: 10.1007/s11129-011-9113-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11129-011-9113-4
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Besanko & Ulrich Doraszelski, 2004. "Capacity Dynamics and Endogenous Asymmetries in Firm Size," RAND Journal of Economics, The RAND Corporation, vol. 35(1), pages 23-49, Spring.
    2. P. Herings & Ronald Peeters, 2010. "Homotopy methods to compute equilibria in game theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(1), pages 119-156, January.
    3. Christopher A. Laincz & Ana Rodrigues, 2006. "The Impact of Cost Reducing R\&D Spillovers on the Ergodic Distribution of Market Structures," Computing in Economics and Finance 2006 307, Society for Computational Economics.
    4. Ariel Pakes & Paul McGuire, 1994. "Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," RAND Journal of Economics, The RAND Corporation, vol. 25(4), pages 555-589, Winter.
    5. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    6. Doraszelski, Ulrich & Escobar, Juan, 2010. "A theory of regular Markov perfect equilibria in dynamic stochastic games: genericity, stability, and purification," Theoretical Economics, Econometric Society, vol. 5(3), September.
    7. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711.
    8. Ulrich Doraszelski & Mark Satterthwaite, 2010. "Computable Markov-perfect industry dynamics," RAND Journal of Economics, RAND Corporation, vol. 41(2), pages 215-243.
    9. Narajabad, Borghan & Watson, Randal, 2011. "The dynamics of innovation and horizontal differentiation," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 825-842, June.
    10. Markovich, Sarit & Moenius, Johannes, 2009. "Winning while losing: Competition dynamics in the presence of indirect network effects," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 346-357, May.
    11. Pakes, Ariel & McGuire, Paul, 2001. "Stochastic Algorithms, Symmetric Markov Perfect Equilibrium, and the 'Curse' of Dimensionality," Econometrica, Econometric Society, vol. 69(5), pages 1261-1281, September.
    12. Ulrich Doraszelski & Sarit Markovich, 2007. "Advertising dynamics and competitive advantage," RAND Journal of Economics, RAND Corporation, vol. 38(3), pages 557-592, September.
    13. Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.
    14. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Oxford University Press, vol. 62(1), pages 53-82.
    15. Jiawei Chen & Ulrich Doraszelski & Joseph E. Harrington, Jr., 2009. "Avoiding market dominance: product compatibility in markets with network effects," RAND Journal of Economics, RAND Corporation, vol. 40(3), pages 455-485.
    16. Ariel Pakes & Michael Ostrovsky & Steven Berry, 2007. "Simple estimators for the parameters of discrete dynamic games (with entry/exit examples)," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 373-399, June.
    17. Milgrom, Paul & Roberts, John, 1982. "Predation, reputation, and entry deterrence," Journal of Economic Theory, Elsevier, vol. 27(2), pages 280-312, August.
    18. Drew Fudenberg & Jean Tirole, 1986. "A "Signal-Jamming" Theory of Predation," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 366-376, Autumn.
    19. Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
    20. David Besanko & Ulrich Doraszelski & Yaroslav Kryukov & Mark Satterthwaite, 2010. "Learning-by-Doing, Organizational Forgetting, and Industry Dynamics," Econometrica, Econometric Society, vol. 78(2), pages 453-508, March.
    21. Minjae Song, 2011. "A Dynamic Analysis Of Cooperative Research In The Semiconductor Industry," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 1157-1177, November.
    22. Victor Aguirregabiria & Pedro Mira, 2007. "Sequential Estimation of Dynamic Discrete Games," Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
    23. Jean-Pierre Dubé & Günter Hitsch & Puneet Manchanda, 2005. "An Empirical Model of Advertising Dynamics," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 107-144, June.
    24. Gautam Gowrisankaran & Thomas J. Holmes, 2004. "Mergers and the Evolution of Industry Concentration: Results from the Dominant-Firm Model," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 561-582, Autumn.
    25. Cabral, Luis M B & Riordan, Michael H, 1997. "The Learning Curve, Predation, Antitrust, and Welfare," Journal of Industrial Economics, Wiley Blackwell, vol. 45(2), pages 155-169, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. David Besanko & Ulrich Doraszelski & Yaroslav Kryukov, 2017. "How Efficient is Dynamic Competition? The Case of Price as Investment," NBER Working Papers 23829, National Bureau of Economic Research, Inc.
    2. Mario Samano & Marc Santugini, 2017. "Long-Run Market Configurations in a Dynamic Quality-Ladder Model with Externalities," CIRANO Working Papers 2017s-24, CIRANO.
    3. repec:kap:qmktec:v:15:y:2017:i:3:d:10.1007_s11129-017-9186-9 is not listed on IDEAS
    4. Mario Samano & Marc Santugini, 2015. "Long-Run Market Configurations in a Dynamic Quality-Ladder Model with Heterogeneity," Cahiers de recherche 1503, CIRPEE.
    5. Ronald Goettler & Brett Gordon, 2014. "Competition and product innovation in dynamic oligopoly," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 1-42, March.
    6. Ben Mermelstein & Volker Nocke & Mark A. Satterthwaite & Michael D. Whinston, 2014. "Internal versus External Growth in Industries with Scale Economies: A Computational Model of Optimal Merger Policy," NBER Working Papers 20051, National Bureau of Economic Research, Inc.
    7. Tubadji, Annie & Nijkamp, Peter & Santarelli, Enrico, 2017. "Shacklean Uncertainty and Cultural Embeddedness as Innovation Constraints in the UK," GLO Discussion Paper Series 111, Global Labor Organization (GLO).
    8. Grega Smrkolj & Florian Wagener, 2014. "Research among Copycats: R&D, Spillovers, and Feedback Strategies," Tinbergen Institute Discussion Papers 14-112/II, Tinbergen Institute, revised 22 Jun 2017.

    More about this item

    Keywords

    Quality ladder model; Dynamic oligopoly; Homotopy method; L13; C63; C73;

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:qmktec:v:10:y:2012:i:2:p:197-229. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.