• Media type: E-Book
  • Title: dsGameSolver : A Python Program for Computing Markov Perfect Equilibria of Dynamic Stochastic Games
  • Contributor: Eibelshäuser, Steffen [Author]; Poensgen, David [Author]
  • Published: [S.l.]: SSRN, 2019
  • Extent: 1 Online-Ressource (50 p)
  • Language: English
  • DOI: 10.2139/ssrn.3316631
  • Identifier:
  • Keywords: Stochastic games ; Stationary equilibrium ; Markov perfect Equilibrium ; Equilibrium computation ; Homotopy continuation
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 16, 2019 erstellt
  • Description: dsGameSolver is based on the homotopy method developed in Eibelshaeuser and Poensgen (2019). It is the first program capable of computing a Markov perfect equilibrium of any finite dynamic stochastic game -- subject to the usual restrictions on numerical accuracy and working memory. dsGameSolver supports general games with state-player-specific numbers of actions and individual discount factors, covering virtually any game of complete information. Furthermore, it is remarkably performant and able to handle games with thousands of state-player-actions. Finally, dsGameSolver allows users with basic programming skills in Python to formulate complex games with ease and to directly use the results for subsequent illustration and analysis
  • Access State: Open Access