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Dear Dynare friends,

We are pleased to announce the release of Dynare 4.4.3.

This is a bugfix release.

The Windows packages are already available for download at:

http://www.dynare.org/download/dynare-stable

The Mac and GNU/Linux packages (for Debian and Ubuntu LTS) should follow soon.

This release is compatible with MATLAB versions 7.3 (R2006b) to 8.2 (R2013b) and with GNU Octave versions 3.6 to 3.8.

Here is a list of the problems identified in version 4.4.2 and that have been fixed in version 4.4.3:

- When loading a dataset in XLS, XLSX or CSV format, the first observation was discarded.

- Reading data in an Excel-file with only one variable wasz leading to a crash.

- When using the k_order_perturbation option (which is implicit at 3rd order) without the use_dll option, crashes or unexpected behavior could happen if some 2nd or 3rd derivative evaluates to zero (while not being symbolically zero)

- When using external function, Ramsey policy could crash or return wrong results.

- For Ramsey policy, the equation numbers associated with the Lagrange multipliers stored in M_.aux_vars were erroneously one too low

- When updating deep parameters in the steady state file, the changes were not fully taken into account (this was only affecting the Ramsey policy).

- When using external functions and the bytecode option, wrong results were returned (if second order derivates of the external functions were needed).

- The confidence level for computations in estimation, conf_sig could not be changed and was fixed at 0.9. The new option mh_conf_sig is now used to set this interval

- Conditional forecasts with non-diagonal covariance matrix used an incorrect decomposition of the covariance matrix. A Cholesky factorization is used.

- Option geweke_interval was not effective, Dynare always defaulted to the standard value.

- The mode_file option lacked backward compatibility with older Dynare versions.

- Loading an mh_mode file with the mode_file option was broken.

- Using identification with var_exo_det leaded to crashes (the preprocessor now returns an error if they are used simultaneously)

- The identification command did not print results if the initial parameter set was invalid and then crashed later on if the MC sample is bigger than 1

- Inconsistencies between static and dynamic models leaded to crashes instead of error messages (only with block option).

- The use of external functions crashed the preprocessor when the derivatives of the external function are explicitly called in the model block. The preprocessor now forbids the use of external functions derivates in the model block.

- Using the block option when a variable does not appear in the current period crashed Dynare instead of providing an error message.

On behalf of the Dynare Team,

Stéphane Adjemian

- -- Université du Maine, Gains Dynare Team