Manual: Add new subsections for commands not belonging to estimation
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@ -206,6 +206,9 @@ The Model file
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* Deterministic simulation::
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* Deterministic simulation::
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* Stochastic solution and simulation::
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* Stochastic solution and simulation::
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* Estimation::
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* Estimation::
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* Model Comparison::
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* Shock Decomposition::
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* Calibrated Smoother::
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* Forecasting::
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* Forecasting::
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* Optimal policy::
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* Optimal policy::
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* Sensitivity and identification analysis::
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* Sensitivity and identification analysis::
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@ -1065,6 +1068,9 @@ end of line one and the parser would continue processing.
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* Deterministic simulation::
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* Deterministic simulation::
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* Stochastic solution and simulation::
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* Stochastic solution and simulation::
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* Estimation::
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* Estimation::
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* Model Comparison::
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* Shock Decomposition::
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* Calibrated Smoother::
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* Forecasting::
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* Forecasting::
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* Optimal policy::
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* Optimal policy::
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* Sensitivity and identification analysis::
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* Sensitivity and identification analysis::
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@ -6970,6 +6976,24 @@ estimates using a higher tapering are usually more reliable.
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@end table
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@end table
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@end defvr
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@end defvr
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@deffn Command unit_root_vars @var{VARIABLE_NAME}@dots{};
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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.
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@end deffn
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Dynare also has the ability to estimate Bayesian VARs:
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@deffn Command bvar_density ;
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Computes the marginal density of an estimated BVAR model, using
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Minnesota priors.
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See @file{bvar-a-la-sims.pdf}, which comes with Dynare distribution,
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for more information on this command.
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@end deffn
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@node Model Comparison
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@section Model Comparison
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@deffn Command model_comparison @var{FILENAME}[(@var{DOUBLE})]@dots{};
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@deffn Command model_comparison @var{FILENAME}[(@var{DOUBLE})]@dots{};
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@deffnx Command model_comparison (marginal_density = laplace | modifiedharmonicmean) @var{FILENAME}[(@var{DOUBLE})]@dots{};
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@deffnx Command model_comparison (marginal_density = laplace | modifiedharmonicmean) @var{FILENAME}[(@var{DOUBLE})]@dots{};
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@anchor{model_comparison}
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@anchor{model_comparison}
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@ -7045,6 +7069,8 @@ Posterior probability of the respective model
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@end defvr
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@end defvr
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@node Shock Decomposition
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@section Shock Decomposition
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@deffn Command shock_decomposition [@var{VARIABLE_NAME}]@dots{};
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@deffn Command shock_decomposition [@var{VARIABLE_NAME}]@dots{};
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@deffnx Command shock_decomposition (@var{OPTIONS}@dots{}) [@var{VARIABLE_NAME}]@dots{};
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@deffnx Command shock_decomposition (@var{OPTIONS}@dots{}) [@var{VARIABLE_NAME}]@dots{};
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@ -7395,20 +7421,8 @@ Default: @math{0}
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@end deffn
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@end deffn
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@deffn Command unit_root_vars @var{VARIABLE_NAME}@dots{};
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@node Calibrated Smoother
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@section Calibrated Smoother
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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.
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@end deffn
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Dynare also has the ability to estimate Bayesian VARs:
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@deffn Command bvar_density ;
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Computes the marginal density of an estimated BVAR model, using
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Minnesota priors.
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See @file{bvar-a-la-sims.pdf}, which comes with Dynare distribution,
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for more information on this command.
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@end deffn
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Dynare can also run the smoother on a calibrated model:
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Dynare can also run the smoother on a calibrated model:
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