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]
- use of function for getting labels will allow to accommodate https://git.dynare.org/Dynare/dynare/-/issues/349
- incidentally fixes a bug in the display of the simulated variance decomposition for observables with measurement error
Previously, noprint suppressed the computation of conditional_variance_decomposition although it should only suppress its display. Also adds a dedicated field for the unconditional variance decomposition.
Eliminates warning message introduced in
4c8f3a89cc
Adds hint to approximation in table title and adds the information with
a reference to Kim/Kim/Schaumburg/Sims (2008) to manual.
closes#278
At order=2, the variance decomposition is still based on order=1. This
commit introduces a warning. See issue #278
(https://github.com/DynareTeam/dynare/issues/278). This information that
the variance decomposition is only triggered at periods=0 has been added
to the manual.
Replace them by equivalents in M_ (and an extra one: M_.dynamic).
IMPORTANT POINT: oo_.dr.npred used to count both purely backward and mixed/both
variables. This was the cause of lots of confusion. The new M_.npred only
counts purely backward variables.
We now have the following indentities:
M_.npred + M_.nboth + M_.nfwrd + M_.nstatic = M_.endo_nbr
M_.nspred = M_.npred + M_.nboth
M_.nsfwrd = M_.nfwrd + M_.nboth
M_.ndynamic = M_.npred + M_.nboth + M_.nfwrd
-conditional variance decomposition
-hpdsup
-moments with no variance in their posterior distribution
modification of computation of conditional variance decomposition