69 lines
1.8 KiB
Org Mode
69 lines
1.8 KiB
Org Mode
block:
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ep:
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accuracy:
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stochastic:
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order
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debug: 0
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memory: 0
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init: 0
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check_stability: 0
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lp: 5
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fp: 2
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innovation_distribution: 'gaussian'
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'calibrated'
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maxit: 500
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periods: 200
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set_dynare_seed_to_default: 1
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solve_algo:
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stack_solve_algo: 4
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step: 50
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stochastic:
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IntegrationAlgorithm: 'Tensor-Gaussian-Quadrature'
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'Stroud-Cubature-3'
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'Stroud-Cubature-5'
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'Unscented'
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method: ''
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algo: 0
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order: 1
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hybrid_order: 0
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homotopic_steps: 1
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nodes: 3
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quadrature:
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ortpol: 'hermite'
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nodes: 5
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pruned:
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ortpol: 'hermite'
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nodes: 5
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pruned: [1x1 struct]
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verbosity: 0
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initial_period: NaN
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lmmcp:
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lb:
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ub:
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status: 0 (?? status is not an option ??)
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mcppath:
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lb:
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ub:
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minimal_solving_period:
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order:
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ramsey_policy:
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simul:
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maxit
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solve_algo:
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stack_solve_algo:
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ut: (unscented free parameter)
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pfm.stochastic_order = DynareOptions.ep.stochastic.order;
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pfm.periods = DynareOptions.ep.periods;
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pfm.verbose = DynareOptions.ep.verbosity;
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* in extended_path_core, one passes options.ep and individual options
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* there are no options to control extended_path_homotopy
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* extended_path_initialization sets ep and options
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* setup_integration_nodes: number of nodes is not handled in a symmetric way for all algorithms
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* why extended_path_initialization et setup_stochastic_extended_path ?
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* do we need solve_stochastic_perfect_foresight_model.m and solve_stochastic_perfect_foresight_model_1.m ?
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