From 4880f3d9adade4db2a2f6b6aacb5c2ab0b9cddd1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?St=C3=A9phane=20Adjemian=20=28Scylla=29?=
<stephane.adjemian@univ-lemans.fr>
Date: Fri, 31 Jan 2014 11:09:09 +0100
Subject: [PATCH] Fixed typo (write @cite{} instead of \cite{} for citations in
texinfo). (cherry picked from commit
ebf4d2a9a601843fb07c9077d0471ff47456eb3f)
---
doc/dynare.texi | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/doc/dynare.texi b/doc/dynare.texi
index 72e09fdc5..4104e0d74 100644
--- a/doc/dynare.texi
+++ b/doc/dynare.texi
@@ -4436,7 +4436,7 @@ likelihood. These first observations are used as a training sample. Default: @co
@anchor{loglinear}
Computes a log-linear approximation of the model instead of a linear
approximation. As always in the context of estimation, the data must correspond to the definition of the
-variables used in the model (see \cite{Pfeifer 2013} for more details on how to correctly specify observation equations linking model variables and the data). If you specify the loglinear option, Dynare will take the logarithm of both your model variables and of your data as it assumes the data to correspond to the original non-logged model variables. The displayed posterior results like impulse responses, smoothed variables, and moments will be for the logged variables, not the original un-logged ones. Default: computes a linear approximation
+variables used in the model (see @cite{Pfeifer 2013} for more details on how to correctly specify observation equations linking model variables and the data). If you specify the loglinear option, Dynare will take the logarithm of both your model variables and of your data as it assumes the data to correspond to the original non-logged model variables. The displayed posterior results like impulse responses, smoothed variables, and moments will be for the logged variables, not the original un-logged ones. Default: computes a linear approximation
@item plot_priors = @var{INTEGER}
Control the plotting of priors:
--
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