Release of Dynare 4.6.1

We are pleased to announce the release of Dynare 4.6.1.

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 7.9 (R2009b) to 9.7 (R2019b), and with GNU Octave versions 5.2.0 (under Windows) and 4.4.1 (under macOS).

Here is a list of the problems identified in version 4.6.0 and that have been fixed in version 4.6.1:

  • Installation on macOS would fail if the GCC compiler was supposed to be installed and was not reachable or blocked
  • Dynare++ was missing the dynare_simul.m file
  • The parameter vector M_.params would not be correctly updated after calls to stoch_simul and discretionary_policy` if parameters had been modified in a steady state file
  • The stoch_simul command with both the nograph and TeX options would crash
  • The stoch_simul command with the noprint option would crash
  • The prior moments command would crash if the used parameter vector triggered an error code
  • In case of problem, the discretionary_policy command would crash instead of aborting with a proper error code
  • Computing of prior/posterior statistics would not work in parallel
  • Closing of parallel estimation on GNU/Linux could crash
  • The histval command would not work in combination with the predetermined_variables command
  • Ramsey optimal policy with multiple instruments would crash if a steady state file returned complex values, instead of providing an error message
  • The model_diagnostics command would not correctly update the parameter vector if the latter was set in a steady state file
  • The model_diagnostics command would ignore the nocheck steady state flag

As a reminder, the list of new features introduced in versions 4.6.x can be found in the release notes for 4.6.0.

I`m fourth year student of economics searching for suitable papers that I could try to replicate with matlab/dynare.
I have intermediate skills in matlab and a good base knowledge in quantitative macro.
The replication should require some ‘advanced’ econometric methods (not just OLS), especially dynamic programming would be great (e.g. linear-quadratic approximation, simple-ish value function iteration, very simple DSGE). And it should either require no data at all (simulated model), or the role of data should be minimal and easily retrievable (e.g. IMF or FED data).
All the papers I can find either use simple linear regression or use models that I find myself unable to solve (with 20 parameters and 15 first order conditions).

No reply…?

Generally, the papers of Martin Uribé are a good place to start. They typically have rather straightforward models.