Also adjust the periods in Simulated_time_series (output of the perfect
foresight solver in the workspace). Note that this dseries object contains the
observations for the initial condition (M_.orig_maximum_lag observations) and
for the terminal condition (M_.orig_maximum_lead observations).
See #1838.
Fix testsuite (wrong file name)
Enforce the positivity of standard errors in the maximum likelihood
estimations. Otherwise some stderr are estimated negative, and the Bayesian
estimation fail because the initial value is out of the bounds of the prior
shape.
Auxiliary variables were still present in the growth neutrality correction. This
commit remove the auxiliaries, so that the user doesn't need to update the
database with the auxiliary variable definitions.
Also adds integration test.
TODO Check that it works with log unary op
TODO Complete tests by checking that the written evaluate routine works
The taget in PAC equation can be decomposed into an arbitrary number of components (variables
in the VAR auxiliary model).
TODO Iterative OLS estimation (which is not the preferred estimation routine).
TODO Decomposition in the routine evaluating the forecasts for each component.
The change implemented in 21a8a5794a broke the
testsuite and was incomplete.
– new option “overwrite” to provide the old behaviour (used to fix the testsuite);
– when concatenating several “estimated_params” block, the preprocessor now
checks that paramateres are not declared twice across blocks.
– multiple “model” and “estimated_params” block are supported
– new “model_options” statement to set model options in a global fashion
– new “model_remove” command to remove equations
– new “model_replace” block to replace equations
– new “var_remove” command to remove variables (or parameters)
– new “estimated_params_remove” block to remove estimated parameters
gen_data.mod creates a datafile called "data.mat"
test_compute_Pinf_Pstar_data.mod creates a datafile called "Data.mat"
There could be a race condition on systems that don't distinguish between upper and lower cases.
This commit only introduce new elements in the Dynare language (adding the
possibility to decompose the target into stationary and non stationary
components) and insure that all the former codes (ie without decomposition of
the target) are still working as expected.
- Force long run levels of the exogenous variables to be zero or g (the BGP growth rate of the LHS endogenous variable).
- Fix the correction of the correction for the share λ (aak γ).
- Provisions for the case where the long run level of the exogenous variable is
different from 0 or g (see tmp1 and ll which should be added to the growth
neutrality correction as a constant).
(cherry picked from commit a4423d734e1df1d4ee09c7225d7fd610e0d94cd1)
- Creates the library `libkordersim` with all the relevant Fortran routines to `folded_to_unfolded_dr` and `local_state_space_iteration_fortran`
- Implements `folded_to_unfolded_dr`, which converts folded decision rule matrices to their unfolded counterparts
Stéphane Adjemian (Ryûk)
Sébastien Villemot
Johannes Pfeifer
Willi Mutschler
Normann Rion