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v4 bvar: changed nane of datafile for BVAR example (test.xls was too common a name) 

git-svn-id: https://www.dynare.org/svn/dynare/dynare_v4@1817 ac1d8469-bf42-47a9-8791-bf33cf982152
time-shift
sebastien 2008-05-02 08:29:50 +00:00
parent 8b841cda0b
commit 81fae5c1a3
5 changed files with 5 additions and 5 deletions
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doc/bvar-a-la-sims.pdf
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doc/bvar-a-la-sims.tex
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@ -514,7 +514,7 @@ Most results are stored for future use:
\section{Examples}
This section presents two short examples of BVAR estimations. These examples and the associated datafile (\texttt{test.xls}) can be found in the \texttt{tests/bvar\_a\_la\_sims} directory of the Dynare v4 subversion tree.
This section presents two short examples of BVAR estimations. These examples and the associated datafile (\texttt{bvar\_sample.xls}) can be found in the \texttt{tests/bvar\_a\_la\_sims} directory of the Dynare v4 subversion tree.
\subsection{Standalone BVAR estimation}
@ -524,7 +524,7 @@ Here is a simple \texttt{mod} file example for a standalone BVAR estimation:
var dx dy;
varobs dx dy;
bvar_density(datafile = test, first_obs = 20, bvar_prior_flat,
bvar_density(datafile = bvar_sample, first_obs = 20, bvar_prior_flat,
bvar_prior_train = 10) 8;
bvar_forecast(forecast = 10, bvar_replic = 10000, nobs = 200) 8;
@ -566,7 +566,7 @@ varobs dx dy;
check;
estimation(datafile = test, mh_replic = 1200, mh_jscale = 1.3,
estimation(datafile = bvar_sample, mh_replic = 1200, mh_jscale = 1.3,
first_obs = 9);
bvar_density 8;

2
tests/bvar_a_la_sims/bvar_and_dsge.mod
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@ -22,7 +22,7 @@ varobs dx dy;
check;
estimation(datafile = test, mh_replic = 1200, mh_jscale = 1.3,
estimation(datafile = bvar_sample, mh_replic = 1200, mh_jscale = 1.3,
first_obs = 9);
bvar_density 8;

0
tests/bvar_a_la_sims/test.xls → tests/bvar_a_la_sims/bvar_sample.xls
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2
tests/bvar_a_la_sims/bvar_standalone.mod
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@ -1,7 +1,7 @@
var dx dy;
varobs dx dy;
bvar_density(datafile = test, first_obs = 20, bvar_prior_flat,
bvar_density(datafile = bvar_sample, first_obs = 20, bvar_prior_flat,
bvar_prior_train = 10) 8;
bvar_forecast(forecast = 10, bvar_replic = 10000, nobs = 200) 8;