1. 17 Aug, 2015 2 commits
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    • Stéphane Adjemian (Charybdis)'s avatar
      New option linear_approximation for perfect foresight models. · 6e52dfb8
      Stéphane Adjemian (Charybdis) authored
      This approach only requires one evaluation of the dynamic model (and its
      jacobian) instead of T (the number of perdiods). Also (because the model
      is linear) the equilibrium paths are obtained by inverting the jacobian
      of the stacked equations (no need for a Newton algorithm).
      
      Only available with stack_solve_algo==0 (which is the default algorithm
      for solving perfect foresight models).
      
      If possible, the option is triggered automatically if the model is
      declared linear.
      
      TODO:
       * Write a linear version of perfect_foresight_problem routine.
       * Evaluate the approxilation error (just need to evaluate the system of
       stacked non linear equations).
      6e52dfb8
  14. 30 Jun, 2015 1 commit
  15. 19 Jun, 2015 1 commit