Correct typos in error message and header

time-shift
Johannes Pfeifer 2016-12-01 17:36:48 +01:00
parent 95076d5c72
commit f5fb81a758
2 changed files with 10 additions and 9 deletions

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@ -1,15 +1,16 @@
function [dr,info,M_,options_,oo_] = dr_block(dr,task,M_,options_,oo_,varargin)
% function [dr,info,M_,options_,oo_] = dr_block(dr,task,M_,options_,oo_)
% computes the reduced form solution of a rational expectation model (first
% approximation of the stochastic model around the deterministic steady state).
% function [dr,info,M_,options_,oo_] = dr_block(dr,task,M_,options_,oo_,varargin)
% computes the reduced form solution of a rational expectations model
% (first order approximation of the stochastic model around the deterministic steady state).
%
% INPUTS
% dr [matlab structure] Decision rules for stochastic simulations.
% task [integer] if task = 0 then dr1 computes decision rules.
% if task = 1 then dr1 computes eigenvalues.
% task [integer] if task = 0 then dr_block computes decision rules.
% if task = 1 then dr_block computes eigenvalues.
% M_ [matlab structure] Definition of the model.
% options_ [matlab structure] Global options.
% oo_ [matlab structure] Results
% oo_ [matlab cell] Other input arguments
%
% OUTPUTS
% dr [matlab structure] Decision rules for stochastic simulations.
@ -33,7 +34,7 @@ function [dr,info,M_,options_,oo_] = dr_block(dr,task,M_,options_,oo_,varargin)
% none.
%
% Copyright (C) 2010-2015 Dynare Team
% Copyright (C) 2010-2016 Dynare Team
%
% This file is part of Dynare.
%
@ -638,7 +639,7 @@ for i = 1:Size;
if options_.loglinear
error('log linear option is for the moment not supported in first order approximation for a block decomposed mode');
error('The loglinear option is not yet supported in first order approximation for a block decomposed model');
% k = find(dr.kstate(:,2) <= M_.maximum_endo_lag+1);
% klag = dr.kstate(k,[1 2]);
% k1 = dr.order_var;
@ -657,7 +658,7 @@ for i = 1:Size;
%exogenous deterministic variables
if exo_det_nbr > 0
error('deterministic exogenous are not yet implemented in first order approximation for a block decomposed model');
error('Deterministic exogenous variables are not yet implemented in first order approximation for a block decomposed model');
% f1 = sparse(jacobia_(:,nonzeros(M_.lead_lag_incidence(M_.maximum_endo_lag+2:end,order_var))));
% f0 = sparse(jacobia_(:,nonzeros(M_.lead_lag_incidence(M_.maximum_endo_lag+1,order_var))));
% fudet = data(i).g1_xd;

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@ -1,5 +1,5 @@
function dyn_latex_table(M_,options_,title,LaTeXtitle,headers,labels,values,label_width,val_width,val_precis,optional_header)
%function dyn_latex_table(M_,title,LaTeXtitle,headers,labels,values,label_width,val_width,val_precis,optional_header)
%function dyn_latex_table(M_,options_,title,LaTeXtitle,headers,labels,values,label_width,val_width,val_precis,optional_header)
% Copyright (C) 2015-2016 Dynare Team
%