Dear Dynare friends,
We are pleased to announce the release of Dynare 6.1. This maintenance
release fixes various bugs.
The Windows, macOS, MATLAB online and source packages are already
available for download at the Dynare website.
This release is compatible with MATLAB versions ranging from 9.5
(R2018b) to 24.1 (R2024a), and with GNU Octave versions ranging from
7.1.0 to 9.1.0 (NB: the Windows package requires version 9.1.0
specifically).
Here is a list of the problems identified in version 6.0 and that have
been fixed in version 6.1:
* Identification: simulated moments were triggered instead of
theoretical ones
* Variance decompositions would crash with measurement errors when
zero
variance shocks were present
* The handling of Lagrange multipliers in the display of problems with
the
Jacobian was wrong
* The option auxname was missing in the documentation of the pac_model
command
* PAC equation estimation/simulation was crashing in the case of
composite
target
* The PAC equation estimation would crash if the PAC target was a
transformed
variable
* The perfect_foresight_with_expectation_errors_solver command could
return
incorrect results when used in conjunction with
homotopy_linearization_fallback or
homotopy_marginal_linearization_fallback options
* For scalar values, the description of the horizon option of the
var_expectation_model command was incorrect
* The steady state computation with the bytecode option in a Ramsey
model
was broken
* OccBin: the piecewise Kalman filter would crash in case of a
periodic
solution
* The heteroskedastic_filter option of the estimation command would
cause a
crash if there was only one shock
* The method_of_moments command would crash during the J-test for just
and
underidentified models
* User-defined warning settings were internally overwritten with the
method_of_moments command or the piecewise Kalman filter
* The SMC sampler would crash if any of the bayesian_irf,
moments_varendo,
or smoother options of the estimation command had been specified
* The bvar_irf command would ignore the SquareRoot option and instead
employ a Cholesky decomposition
* The univariate Kalman filter erroneously treated observations with
negative
prediction variances due to numerical issues as missing values
instead of
discarding the parameter draw
Moreover, a new homotopy_exclude_varexo option to
theperfect_foresight_solver command has been added, to exclude some
exogenous variables from the homotopy procedure (i.e. to keep them at
their value corresponding to 100% of the shock during all homotopy
iterations).
As a reminder, the list of new features introduced in versions 6.x can
be found in the release notes for 6.0.
On behalf of the Dynare Team,
--
Sébastien Villemot
Economist at CEPREMAP
Dynare developer
https://sebastien.villemot.name
