This is a slim Python wrapper to Dynare. It runs the
*.mod file, displays the resulting output, and then provides access to the Dynare workspace. It works with both, Matlab and Octave.
For fellow linux users (and probably mac users as well), this also provides a script to execute Dynare from comand line.
- Source: https://github.com/gboehl/pynare
- Documentation: https://pynare.readthedocs.io/en/latest/
- Bug tracker: https://github.com/gboehl/pynare/issues
NOTE: This is at a very early stage and not well-tested (and not tested at all on Windows). Comments via the bug tracker are very welcome.
The declared goal of this project is to provide access to Dynare without having to learn and use Matlab/Octave. This reflects the acknowledgement that the translation of the Dynare codebase to a more efficient open source alternative is a major effort which may take a while. Meanwhile, pynare encourages young researchers to focus on modern open source languages and, as the whole interface is pure Python, still allows them to use Dynare without Matlab.
Package import and running a modfile:
from pynare import pynare modfile = '/path/to/greatmodel.mod' mod0 = pynare(modfile)
This will give you the usual info about how the Blanchard-Kahn conditions are messed up. The
mod0-object contains all the stuff from dynare. Access the attributes with:
mod0.workspace # will give you the matlab workspace print(mod0.workspace['beta']) # it contains all the parameters >>> 0.995 # likely to be the case
I also added the
oo_ Dynare-object, which contains a lot of usefull stuff. Note that you could have also accessed it via
mod0.oo_.keys() # it is a dict, so browse it via `keys()` irfs = mod0.oo_['irfs'] # for instance get your impulse response functions (it's again a dict). Maybe plot them?
Just evoking pynare from the comand prompt/shell is as simple as
Installation is as simply as running (Windows users from the Anaconda Prompt):
pip install pynare
Of course, installing Dynare remains your responibility.
If you care for the bleeding edge developing version (which, at this stage, is recommended), the handy way is to install via the
git-command. If you hav not yet installed
git, Windows users get it here: https://git-scm.com/download/win (Linux users just use the repo of their distro). Then:
pip install git+https://github.com/gboehl/pynare