It is now supported by the MATLAB editor (as of R2022a).
The old ASCII notation is left in some files that we copy as-is from other
sources (e.g. in the contrib/ and m4/ subdirectories).
The particles submodule is not updated at this point, because it is in an
inconsistent state.
[skip ci]
- steady,
- check,
- evaluate_likelihood,
- evaluate_posterior_kernel, and
- evaluate_prior.
*Example*
After running a mod file, on the Matlab's command line:
>> cli.check
EIGENVALUES:
Modulus Real Imaginary
0 0 0
1.389e-16 1.389e-16 0
0.6452 0.6452 0
0.9707 0.9707 0
1.038 1.038 0
1.271e+16 1.271e+16 0
2.33e+17 2.33e+17 0
There are 3 eigenvalue(s) larger than 1 in modulus
for 3 forward-looking variable(s)
The rank condition is verified.
>> prior moments(distribution)
Returns the implied prior mean and standard deviation of the asymptotic
expectation and variance of all the endogenous variables.
The draws of the empirical implied prior distribution for these
asymptotic moments are saved under:
M_.dname/prior/draws/M_.fname_endogenous_variables_prior_draws.mat
and can be used to compute other moments or plot implied prior
densities.
This new routine gives the possibility to obtain a description of the
prior from the command line.
>> prior table
will display a table with the prior mean, prior mode, prior std, prior
bounds and prior HPD interval.
>> prior plot
will plot the prior densities.
>> prior optimize
will trigger the maximization of the prior density and display the
results (often, because of BK conditions or other issues, Dynare is even
not able to get the prior mode).
>> prior moments
will display the moments of the endogenous variables at the prior mode.
>> prior simulate
will run a Monte-Carlo, by sampling from the prior and discarding vector
of parameters such that the steady state does not exist or the BK
conditions are not met, and return an estimate of the effective prior
mass.
Stéphane Adjemian (Ryûk)
Johannes Pfeifer
Sébastien Villemot
Dóra Kocsis
Stéphane Adjemian (Scylla)
Michel Juillard