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Manual: Add new subsections for commands not belonging to estimation

time-shift
Johannes Pfeifer 2017-03-24 16:49:18 +01:00
parent 37dd5fd077
commit 94f09402a2
1 changed files with 28 additions and 14 deletions
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doc/dynare.texi
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@ -206,6 +206,9 @@ The Model file
* Deterministic simulation::
* Stochastic solution and simulation::
* Estimation::
* Model Comparison::
* Shock Decomposition::
* Calibrated Smoother::
* Forecasting::
* Optimal policy::
* Sensitivity and identification analysis::
@ -1065,6 +1068,9 @@ end of line one and the parser would continue processing.
* Deterministic simulation::
* Stochastic solution and simulation::
* Estimation::
* Model Comparison::
* Shock Decomposition::
* Calibrated Smoother::
* Forecasting::
* Optimal policy::
* Sensitivity and identification analysis::
@ -6970,6 +6976,24 @@ estimates using a higher tapering are usually more reliable.
@end table
@end defvr
@deffn Command unit_root_vars @var{VARIABLE_NAME}@dots{};
This command is deprecated. Use @code{estimation} option @code{diffuse_filter} instead for estimating a model with non-stationary observed variables or @code{steady} option @code{nocheck} to prevent @code{steady} to check the steady state returned by your steady state file.
@end deffn
Dynare also has the ability to estimate Bayesian VARs:
@deffn Command bvar_density ;
Computes the marginal density of an estimated BVAR model, using
Minnesota priors.
See @file{bvar-a-la-sims.pdf}, which comes with Dynare distribution,
for more information on this command.
@end deffn
@node Model Comparison
@section Model Comparison
@deffn Command model_comparison @var{FILENAME}[(@var{DOUBLE})]@dots{};
@deffnx Command model_comparison (marginal_density = laplace | modifiedharmonicmean) @var{FILENAME}[(@var{DOUBLE})]@dots{};
@anchor{model_comparison}
@ -7045,6 +7069,8 @@ Posterior probability of the respective model
@end defvr
@node Shock Decomposition
@section Shock Decomposition
@deffn Command shock_decomposition [@var{VARIABLE_NAME}]@dots{};
@deffnx Command shock_decomposition (@var{OPTIONS}@dots{}) [@var{VARIABLE_NAME}]@dots{};
@ -7395,20 +7421,8 @@ Default: @math{0}
@end deffn
@deffn Command unit_root_vars @var{VARIABLE_NAME}@dots{};
This command is deprecated. Use @code{estimation} option @code{diffuse_filter} instead for estimating a model with non-stationary observed variables or @code{steady} option @code{nocheck} to prevent @code{steady} to check the steady state returned by your steady state file.
@end deffn
Dynare also has the ability to estimate Bayesian VARs:
@deffn Command bvar_density ;
Computes the marginal density of an estimated BVAR model, using
Minnesota priors.
See @file{bvar-a-la-sims.pdf}, which comes with Dynare distribution,
for more information on this command.
@end deffn
@node Calibrated Smoother
@section Calibrated Smoother
Dynare can also run the smoother on a calibrated model: