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Release notes for Dynare 6.1

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Announcement for Dynare 6.1 (on 2024-05-02)
===========================================
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](https://www.dynare.org/download/).
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
Announcement for Dynare 6.0 (on 2024-02-02)
===========================================
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