From ea273c68125bd7c80117d90b68e91c6aa7cda42f Mon Sep 17 00:00:00 2001
From: Ferhat Mihoubi <ferhat.mihoubi@univ-evry.fr>
Date: Fri, 8 Jun 2012 14:16:57 +0200
Subject: [PATCH] documentation on the block decomposed decision rule.
---
doc/dynare.texi | 11 +++++++++--
1 file changed, 9 insertions(+), 2 deletions(-)
diff --git a/doc/dynare.texi b/doc/dynare.texi
index 5648091bad..6116837347 100644
--- a/doc/dynare.texi
+++ b/doc/dynare.texi
@@ -1484,9 +1484,10 @@ in those cases.}
@item block
@anchor{block}
Perform the block decomposition of the model, and exploit it in
-computations. See
+computations (steady-state, deterministic simulation,
+stochastic simulation with first order approximation and estimation). See
@uref{http://www.dynare.org/DynareWiki/FastDeterministicSimulationAndSteadyStateComputation,Dynare
-wiki} for details on the algorithm.
+wiki} for details on the algorithms used in deterministic simulation and steady-state computation.
@item bytecode
@anchor{bytecode}
@@ -2953,6 +2954,8 @@ The covariance matrix of the shocks is specified with the
When a list of @var{VARIABLE_NAME} is specified, results are displayed
only for these variables.
+The @code{stoch_simul} command with a first order approximation can benefit from the block decomposition of the model (@pxref{block}).
+
@optionshead
@table @code
@@ -3502,6 +3505,10 @@ Note that in order to avoid stochastic singularity, you must have at
least as many shocks or measurement errors in your model as you have
observed variables.
+The estimation using a first order approximation can benefit from the block
+decomposition of the model (@pxref{block}).
+
+
@deffn Command varobs @var{VARIABLE_NAME}@dots{};
@descriptionhead
--
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