Dear Dynare friends,
We are pleased to announce the release of Dynare 6.4. This maintenance
release fixes various bugs.
The Windows, macOS, MATLAB online and source packages are available for
download at the Dynare website. This release is compatible with MATLAB
versions ranging from 9.5 (R2018b) to 25.1 (R2025a), and with GNU
Octave versions ranging from 7.1.0 to 10.2.0 (NB: the Windows package
requires version 10.2.0 specifically).
Here is a list of the problems identified in version 6.3 and that have
been fixed in version 6.4:
* Several issues with the perfect_foresight_with_expectation_errors
command:
when used with no endval/endval(learnt_in=1) block but an
endval(learnt_in=t) block with t>1, convergence could fail if
homotopy
was neededcombined with homotopy_marginal_linearization_fallback, it
would return
incorrect resultsit would crash with
homotopy_marginal_linearization_fallback option if
there were several distinct shocks or endval blocks with the
learnt_in option
* Using the model_diagnostics command with the bytecode option of the
model block or the model_options command would crash if the static
Jacobian was singular
* The discretionary_policy command with the noprint option would crash
when
encountering a problem instead of continuing
* Using the ramsey_model command with models declared as linear would
crash
during preprocessing when there is a lead/lag greater than 1 on
endogenous
variables or any lead/lag on exogenous variables
* Using the identification command with the slice sampler would crash
if the
slice_initialize_with_mode option was used
* The particle filter option resampling_method of the estimation
command
was broken
* The output=third preprocessor option would not work if no
computational
commands were present in the .mod file
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
