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).
This options relates to alternative numerical hessian computations:
optim=('Hessian',1) is the default dynare numeric Hessian
optim=('Hessian',0) is the outer product gradient
optim=('Hessian',2) is the 'mixed' outer product gradient, where diagonal elements using second order derivation formula,
Both 0 and 2 cases require univariate filters, to ensure using maximum number of individual densities.
- also moves several options to subfields of options structure
- allows setting options of newrat
- requires newrat to have compatible kalman_algo specified in order for it to not change options_
- explicitly disallows using analytical derivation with numerical gradient (before the numerical gradient request was overwritten)
- always outputs hessian returned by optimizer (empty matrix if not computed) and deletes subsequent overwriting if cova_compute=0
- in dr_block.m and ep_residuals.m the option was hardcoded and disabled
- for csminwel1.m, no verbosity option exists anymore, thus definitions preceeding calls to it were redundant as was the options_.osr.verbose
Sensitivity analysis for irf and moment calibration, with new function /gsa/map_calibration.m
Added new tests/gsa/ls2003a.mod for testsuite of irf/moment calibration
To be done:
- extend SA of calibration to MC and posterior samples (currently uses prior sample only)
- documentaion
- partial progress to close#267
If a file <MOD_FILE_NAME>_prior_restrictions.m exists in current folder, the value returned by this routine is
substracted to fval (likelihood-lnprior) at the end of dsge_likelihood. The arguments of this routine are: M_,
oo_, options_, dataset_ and dataset_info. Routines for writing <MOD_FILE_NAME>_prior_restrictions.m will be
provided later.