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<title>Description of disp_th_moments</title>
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<h1>disp_th_moments
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Copyright (C) 2001 Michel Juillard</strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function disp_th_moments(dr,var_list) </strong></div>
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Copyright (C) 2001 Michel Juillard</pre></div>
<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="table.html" class="code" title="function table(title,headers,labels,values,label_width,val_width,val_precis)">table</a> Copyright (C) 2002 Michel Juillard</li><li><a href="th_autocovariances.html" class="code" title="function [Gamma_y,ivar]=th_autocovariances(dr,ivar)">th_autocovariances</a> Copyright (C) 2001 Michel Juillard</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="olr.html" class="code" title="function olr(var_list,olr_inst,obj_var,W)">olr</a> Copyright (C) 2001 Michel Juillard</li><li><a href="osr.html" class="code" title="function osr(var_list,params,W)">osr</a> Copyright (C) 2001 Michel Juillard</li><li><a href="stoch_simul.html" class="code" title="function info=stoch_simul(var_list)">stoch_simul</a> Copyright (C) 2001 Michel Juillard</li></ul>
<!-- crossreference -->
<h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre>0001 <span class="comment">% Copyright (C) 2001 Michel Juillard</span>
0002 <span class="comment">%</span>
0003 <a name="_sub0" href="#_subfunctions" class="code">function disp_th_moments(dr,var_list)</a>
0004 <span class="keyword">global</span> M_ oo_ options_
0005
0006 nvar = size(var_list,1);
0007 <span class="keyword">if</span> nvar == 0
0008 nvar = length(dr.order_var);
0009 ivar = [1:nvar]';
0010 <span class="keyword">else</span>
0011 ivar=zeros(nvar,1);
0012 <span class="keyword">for</span> i=1:nvar
0013 i_tmp = strmatch(var_list(i,:),M_.endo_names,<span class="string">'exact'</span>);
0014 <span class="keyword">if</span> isempty(i_tmp)
0015 error ([<span class="string">'One of the variable specified does not exist'</span>]) ;
0016 <span class="keyword">else</span>
0017 ivar(i) = i_tmp;
0018 <span class="keyword">end</span>
0019 <span class="keyword">end</span>
0020 <span class="keyword">end</span>
0021
0022 m = dr.ys(ivar);
0023
0024 oo_.gamma_y = <a href="th_autocovariances.html" class="code" title="function [Gamma_y,ivar]=th_autocovariances(dr,ivar)">th_autocovariances</a>(dr,ivar);
0025
0026 i1 = find(abs(diag(oo_.gamma_y{1})) &gt; 1e-12);
0027 s2 = diag(oo_.gamma_y{1});
0028 sd = sqrt(s2);
0029 <span class="keyword">if</span> options_.order == 2
0030 m = m+oo_.gamma_y{options_.ar+3};
0031 <span class="keyword">end</span>
0032
0033 z = [ m sd s2 ];
0034 oo_.mean = m;
0035 oo_.var = oo_.gamma_y{1};
0036
0037 lh = size(deblank(M_.endo_names(ivar,:)),2)+2;
0038 <span class="keyword">if</span> options_.nomoments == 0
0039 title=<span class="string">'THEORETICAL MOMENTS'</span>;
0040 <span class="keyword">if</span> options_.hp_filter == 1
0041 title = [title <span class="string">' (HP filter, lambda = '</span> int2str(options_.hp_filter) <span class="string">')'</span>];
0042 <span class="keyword">end</span>
0043 headers=strvcat(<span class="string">'VARIABLE'</span>,<span class="string">'MEAN'</span>,<span class="string">'STD. DEV.'</span>,<span class="string">'VARIANCE'</span>);
0044 <a href="table.html" class="code" title="function table(title,headers,labels,values,label_width,val_width,val_precis)">table</a>(title,headers,deblank(M_.endo_names(ivar,:)),z,lh,11,4);
0045 <span class="keyword">if</span> M_.exo_nbr &gt; 1
0046 disp(<span class="string">' '</span>)
0047 title=<span class="string">'VARIANCE DECOMPOSITION (in percent)'</span>;
0048 <span class="keyword">if</span> options_.hp_filter == 1
0049 title = [title <span class="string">' (HP filter, lambda = '</span> <span class="keyword">...</span>
0050 int2str(options_.hp_filter) <span class="string">')'</span>];
0051 <span class="keyword">end</span>
0052 headers = M_.exo_names;
0053 headers(M_.exo_names_orig_ord,:) = headers;
0054 headers = strvcat(<span class="string">' '</span>,headers);
0055 <a href="table.html" class="code" title="function table(title,headers,labels,values,label_width,val_width,val_precis)">table</a>(title,headers,deblank(M_.endo_names(ivar(i1),:)),100*oo_.gamma_y{options_.ar+2}(i1,:), <span class="keyword">...</span>
0056 lh,8,2);
0057 <span class="keyword">end</span>
0058 <span class="keyword">end</span>
0059
0060 <span class="keyword">if</span> options_.nocorr == 0
0061 disp(<span class="string">' '</span>)
0062 title=<span class="string">'MATRIX OF CORRELATIONS'</span>;
0063 <span class="keyword">if</span> options_.hp_filter == 1
0064 title = [title <span class="string">' (HP filter, lambda = '</span> int2str(options_.hp_filter) <span class="string">')'</span>];
0065 <span class="keyword">end</span>
0066 labels = deblank(M_.endo_names(ivar,:));
0067 headers = strvcat(<span class="string">'Variables'</span>,labels(i1,:));
0068 corr = oo_.gamma_y{1}(i1,i1)./(sd(i1)*sd(i1)');
0069 <a href="table.html" class="code" title="function table(title,headers,labels,values,label_width,val_width,val_precis)">table</a>(title,headers,labels(i1,:),corr,lh,8,4);
0070 <span class="keyword">end</span>
0071
0072 <span class="keyword">if</span> options_.ar &gt; 0
0073 disp(<span class="string">' '</span>)
0074 title=<span class="string">'COEFFICIENTS OF AUTOCORRELATION'</span>;
0075 <span class="keyword">if</span> options_.hp_filter == 1
0076 title = [title <span class="string">' (HP filter, lambda = '</span> int2str(options_.hp_filter) <span class="string">')'</span>];
0077 <span class="keyword">end</span>
0078 labels = deblank(M_.endo_names(ivar(i1),:));
0079 headers = strvcat(<span class="string">'Order '</span>,int2str([1:options_.ar]'));
0080 z=[];
0081 <span class="keyword">for</span> i=1:options_.ar
0082 oo_.autocorr{i} = oo_.gamma_y{i+1};
0083 z(:,i) = diag(oo_.gamma_y{i+1}(i1,i1));
0084 <span class="keyword">end</span>
0085 <a href="table.html" class="code" title="function table(title,headers,labels,values,label_width,val_width,val_precis)">table</a>(title,headers,labels,z,0,8,4);
0086 <span class="keyword">end</span>
0087
0088 <span class="comment">% 10/09/02 MJ</span>
0089 <span class="comment">% 10/18/02 MJ added th_autocovariances() and provided for lags on several</span>
0090 <span class="comment">% periods</span>
0091 <span class="comment">% 10/30/02 MJ added correlations and autocorrelations, uses table()</span>
0092 <span class="comment">% oo_.gamma_y is now a cell array.</span>
0093 <span class="comment">% 02/18/03 MJ added subtitles for HP filter</span>
0094 <span class="comment">% 05/01/03 MJ corrected options_.hp_filter</span>
0095 <span class="comment">% 05/21/03 MJ variance decomposition: test M_.exo_nbr &gt; 1</span>
0096 <span class="comment">% 05/21/03 MJ displays only variables with positive variance</span></pre></div>
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