Fix copyright notices

matlab/@dynSeries/ydiff.m

@@ -23,7 +23,7 @@ function us = ydiff(ts)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2012, 2013 Dynare Team
+% Copyright (C) 2012-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/@dynSeries/ygrowth.m

@@ -22,7 +22,7 @@ function us = ygrowth(ts)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2012, 2013 Dynare Team
+% Copyright (C) 2012-2013 Dynare Team
 %
 % This file is part of Dynare.
 %
@@ -138,4 +138,4 @@ end
 %$ end
 %$
 %$ T = all(t);
-%@eof:3
\ No newline at end of file
+%@eof:3

matlab/AHessian.m

@@ -8,7 +8,7 @@ function [AHess, DLIK, LIK] = AHessian(T,R,Q,H,P,Y,DT,DYss,DOm,DH,DP,start,mf,ka
 % NOTE: the derivative matrices (DT,DR ...) are 3-dim. arrays with last
 % dimension equal to the number of structural parameters
 
-% Copyright (C) 2011 Dynare Team
+% Copyright (C) 2011-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/CheckPath.m

@@ -11,7 +11,7 @@ function DirectoryName = CheckPath(type,dname)
 % SPECIAL REQUIREMENTS
 %    none
 
-% Copyright (C) 2005-2011 Dynare Team
+% Copyright (C) 2005-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/CutSample.m

@@ -14,7 +14,7 @@ function CutSample(M_, options_, estim_params_)
 % SPECIAL REQUIREMENTS
 %    none
 
-% Copyright (C) 2005-2011 Dynare Team
+% Copyright (C) 2005-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/PosteriorIRF.m

@@ -16,7 +16,7 @@ function PosteriorIRF(type)
 % functions associated with it(the _core1 and _core2).
 % See also the comments random_walk_metropolis_hastings.m funtion.
 
-% Copyright (C) 2006-2012 Dynare Team
+% Copyright (C) 2006-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/PosteriorIRF_core1.m

@@ -22,7 +22,7 @@ function myoutput=PosteriorIRF_core1(myinputs,fpar,B,whoiam, ThisMatlab)
 % SPECIAL REQUIREMENTS.
 %   None.
 %
-% Copyright (C) 2006-2012 Dynare Team
+% Copyright (C) 2006-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/adaptive_metropolis_hastings.m

@@ -34,7 +34,7 @@ function record=adaptive_metropolis_hastings(TargetFun,ProposalFun,xparam1,vv,mh
 % Then the comments write here can be used for all the other pairs of
 % parallel functions and also for management funtions.
 
-% Copyright (C) 2006-2011 Dynare Team
+% Copyright (C) 2006-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/bvar_forecast.m

@@ -11,7 +11,7 @@ function bvar_forecast(nlags)
 % SPECIAL REQUIREMENTS
 %    none
 
-% Copyright (C) 2007-2012 Dynare Team
+% Copyright (C) 2007-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/cartesian_product_of_sets.m

@@ -31,7 +31,7 @@ function cprod = cartesian_product_of_sets(varargin)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011 Dynare Team
+% Copyright (C) 2011-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/check_model.m

 function check_model(DynareModel)
 
-% Copyright (C) 2005-2011 Dynare Team
+% Copyright (C) 2005-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/check_posterior_analysis_data.m

 function [info,description] = check_posterior_analysis_data(type,M_)
 
-% Copyright (C) 2008-2009 Dynare Team
+% Copyright (C) 2008-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/conditional_variance_decomposition_mc_analysis.m

@@ -3,7 +3,7 @@ function oo_ = ...
 % This function analyses the (posterior or prior) distribution of the
 % endogenous conditional variance decomposition.
 
-% Copyright (C) 2009-2010 Dynare Team
+% Copyright (C) 2009-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/correlation_mc_analysis.m

@@ -2,7 +2,7 @@ function oo_ = correlation_mc_analysis(SampleSize,type,dname,fname,vartan,nvar,v
 % This function analyses the (posterior or prior) distribution of the
 % endogenous variables correlation function.
 
-% Copyright (C) 2008-2009 Dynare Team
+% Copyright (C) 2008-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/cosn.m

@@ -7,7 +7,7 @@ function [co, b, yhat] = cosn(H);
 % Not the same as multiple correlation coefficient since the means are not
 % zero
 %
-% Copyright (C) 2008-2011 Dynare Team
+% Copyright (C) 2008-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/covariance_mc_analysis.m

@@ -2,7 +2,7 @@ function oo_ = covariance_mc_analysis(NumberOfSimulations,type,dname,fname,varta
 % This function analyses the (posterior or prior) distribution of the
 % endogenous variables covariance matrix.
 
-% Copyright (C) 2008-2009 Dynare Team
+% Copyright (C) 2008-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/cubature_with_gaussian_weight.m

@@ -34,7 +34,7 @@ function [nodes, weights] = cubature_with_gaussian_weight(d,n,method)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2012 Dynare Team
+% Copyright (C) 2012-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/disp_identification.m

 function disp_identification(pdraws, idemodel, idemoments, name, advanced)
 
-% Copyright (C) 2008-2011 Dynare Team
+% Copyright (C) 2008-2012 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/disp_th_moments.m

 function disp_th_moments(dr,var_list)
 % Display theoretical moments of variables
 
-% Copyright (C) 2001-2011 Dynare Team
+% Copyright (C) 2001-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/display_conditional_variance_decomposition.m

@@ -16,7 +16,7 @@ function oo_ = display_conditional_variance_decomposition(Steps, SubsetOfVariabl
 % [1] The covariance matrix of the state innovations needs to be diagonal.
 % [2] In this version, absence of measurement errors is assumed...
 
-% Copyright (C) 2010-2012 Dynare Team
+% Copyright (C) 2010-2013 Dynare Team
 %
 % This file is part of Dynare.
 %