Dear Dynare friends,
We are pleased to announce the release of Dynare 5.4. This maintenance release fixes various bugs.
The Windows, macOS and source packages are already available for download at
the Dynare website. All users are strongly encouraged to upgrade.
This release is compatible with MATLAB versions ranging from 8.3 (R2014a) to
9.14 (R2023a), and with GNU Octave version 8.1.0 (under Windows).
Note for macOS users with an Apple Silicon processor, and who are also MATLAB
users: the official MATLAB version for use on those processors is still the
Intel version (running through Rosetta 2), so the official Dynare package for
download on our website is built for Intel only. However, since Mathworks has
released a beta version of MATLAB for Apple Silicon, we created a beta package
of Dynare that you can try with it. See this forum thread for more details:
https://forum.dynare.org/t/testers-wanted-release-of-dynare-5-x-beta-for-apple-silicon-m1-m2-chips/20499
Here is a list of the problems identified in version 5.3 and that have been
fixed in version 5.4:
- Files installed through the Windows installer had too weak permissions and
could be modified by unpriviledged local users, if the default installation
location (
c:\dynare\) had been chosen
- Estimation:
- the
load_results_after_load_mh option would not find the location of the
results file
- the computation of prior/posterior statistics would crash if the value of
the
filter step_ahead option was greater than 1 without requesting a
forecast or the smoother
- NaN or complex parameters returned by steady state files were not correctly
handled
analytical_derivation could be triggered with endogenous_prior but
would not take the endogenous prior into account for the Jacobian and
Hessian
- OccBin:
- running the
calib_smoother command with smoother_inversion_filter would
crash unless likelihood_inversion_filter was also specified
- running the piecewise Kalman smoother would crash if an error was
encountered during computation of the decision rules
- PAC equation estimation through iterative OLS would crash if the auxiliary
model contained a constant
- The variable label was incorrect for leads and lags of exogenous variables in
the display of decision rules and in the
model_info command
- Declaring a
trend_var variable while not having a var(deflator=...)
statement would cause the preprocessor to crash
- Macro processor: error messages following a
@#define, @#include or
@#includepath directive could in some cases point to a line number off by 1
- Perfect foresight simulations: the
debug option would not preserve
sparsity, causing out of memory errors
As a reminder, the list of new features introduced in versions 5.x can be
found in the
release notes for
5.0.
On behalf of the Dynare Team,
--
Sébastien Villemot
Economist at CEPREMAP
Dynare developer