There was no check in dynare_estimation_init.m whether the steady state solved, but the noconstant option was set nevertheless. This gave rise to cases where a steady state file returned 0 for the observables, but the steady state did not exits. Due to later using use_calibration, this problem with the initial values was not detected, but the observation equation featured no constant although it should. The solution is to move the use_calibration option before the first steady state computation and then issue an error if the parameterization does not work
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
The check for running the smoother on the model at the posterior mean is only based on whether the smoother option was set. But filtered_vars is a separate option. If not also checking whether Bayesian filtered variables have already been requested, oo_.FilteredVariables will contain both "ML" and Bayesian fields, which is confusing. The change only saves the filtered variables from the classical smoother if the user did not use Bayesian estimation.
* Second and third positional arguments after the name of the
estimated parameter in the estimated_params block are only
considered in the optimization stage (not in the MCMC)
* Do not store bounds in bayestopt_, because bounds do not always
reflect restrictions implied by prior shapes.
* prior_bounds routine returns a structure (with fields lb and ub)
instead of a matrix.
Because xparam1 is used by the smoother, but xparam was set to the posterior mean, the non-Bayesian smoother results were based on the parameters at the mode, which are stored in xparam1.
- Suppresses spurious output from dynare_estimation_1.m
- Removes unset output argument from dynare_estimation_init.m (which seems to be totally unused as it was not set at all and nobody reported any crashes)
- Corrects header of dynare_estimation_init.m
- 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
MCMC convergence diagnostics should be computed even if mh_replic is less than 2000, provided that the total number of iterations is greater than 2000 (if option load_mh_file is used).
Details about the MCMC can be loaded in the workspace with the following command:
>> internals --load-mh-history <NAME_OF_THE_MOD_FILE>
under the name mcmc_informations, or printed in the command window, using the following
command:
>> internals --display-mh-history <NAME_OF_THE_MOD_FILE>
Michel Juillard
Johannes Pfeifer
Johannes Pfeifer
Frédéric Karamé
Marco Ratto
Stéphane Adjemian (Charybdis)
Houtan Bastani