A Computational Approach to Proving Uniqueness in Dynamic Games
AbstractDynamic games are used to analyze dynamic strategic interactions. While existence of equilibrium can often be proved by conventional methods, uniqueness is much more difficult to establish. If a game reduces to solving a system of polynomial equations, then one could use algorithms for finding all solutions to such systems to establish if equilibrium was unique. We study a common type of game where equilibrium can be analyzed as a sequence of small games and apply an all solutions algorithm to each such game
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 412.
Date of creation: 11 Nov 2005
Date of revision:
nash equilibrium; multivariate polynomials;
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Ron N. Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, . "A User''s Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," GSIA Working Papers 2009-E23, Carnegie Mellon University, Tepper School of Business.
- Borkovsky, RON N. & Doraszelski, Ulrich & Kryukov, Yaroslav, 2008. "A User's Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," CEPR Discussion Papers 6733, C.E.P.R. Discussion Papers.
- David Besanko & Ulrich Doraszelski, 2005.
"Learning-by-Doing, Organizational Forgetting, and Industry Dynanmics,"
Computing in Economics and Finance 2005
236, Society for Computational Economics.
- Besanko, David & Doraszelski, Ulrich & Kryukov, Yaroslav & Satterthwaite, Mark, 2007. "Learning-by-Doing, Organizational Forgetting and Industry Dynamics," CEPR Discussion Papers 6160, C.E.P.R. Discussion Papers.
- David Besanko & Ulrich Doraszelski & Yaroslav Kryukov & Mark Satterthwaite, 2007. "Learning-by-Doing, Organizational Forgetting, and Industry Dynamics," Levine's Bibliography 321307000000000903, UCLA Department of Economics.
- David Besanko & Ulrich Doraszelski & Yaroslav Kryukov & Mark Satterthwaite, 2008. "Learning-by-Doing, Organizational Forgetting, and Industry Dynamics," GSIA Working Papers 2009-E22, Carnegie Mellon University, Tepper School of Business.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.