Dynare 5.4 Released
Posted on 22 March 2023We 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 aforecast
or thesmoother
- NaN or complex parameters returned by steady state files were not correctly handled
analytical_derivation
could be triggered withendogenous_prior
but would not take the endogenous prior into account for the Jacobian and Hessian
- the
- OccBin:
- running the
calib_smoother
command withsmoother_inversion_filter
would crash unlesslikelihood_inversion_filter
was also specified - running the piecewise Kalman smoother would crash if an error was encountered during computation of the decision rules
- running the
- 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 avar(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.