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<title>Description of kalman_transition_matrix</title>
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<h1>kalman_transition_matrix
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>makes transition matrices out of ghx and ghu for Kalman filter</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 [A,B] = kalman_transition_matrix(dr) </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"> makes transition matrices out of ghx and ghu for Kalman filter
still needs to eliminate unobserved static variables
order of variables s p b f p_1</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)">
</ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="UnivariateSpectralDensity.html" class="code" title="function [omega,f] = UnivariateSpectralDensity(dr,var_list)">UnivariateSpectralDensity</a> stephane.adjemian@ens.fr</li><li><a href="dynare_resolve.html" class="code" title="function [A,B,ys,info] = dynare_resolve()">dynare_resolve</a> </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>
<!-- 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">% makes transition matrices out of ghx and ghu for Kalman filter</span>
0002 <span class="comment">% still needs to eliminate unobserved static variables</span>
0003 <span class="comment">% order of variables s p b f p_1</span>
0004
0005 <a name="_sub0" href="#_subfunctions" class="code">function [A,B] = kalman_transition_matrix(dr)</a>
0006 <span class="keyword">global</span> M_
0007 nx = size(dr.ghx,2)+dr.nfwrd+dr.nstatic;
0008 kstate = dr.kstate;
0009 ikx = [dr.nstatic+1:dr.nstatic+dr.npred];
0010
0011 A = zeros(nx,nx);
0012 k0 = kstate(find(kstate(:,2) &lt;= M_.maximum_lag+1),:);
0013 i0 = find(k0(:,2) == M_.maximum_lag+1);
0014 n0 = size(dr.ghx,1);
0015 A(1:n0,dr.nstatic+1:dr.nstatic+dr.npred) = dr.ghx(:,1:dr.npred);
0016 A(1:n0,dr.nstatic+dr.npred+dr.nfwrd+1:end) = dr.ghx(:,dr.npred+1:end);
0017 B = zeros(nx,M_.exo_nbr);
0018 B(1:n0,:) = dr.ghu;
0019 offset_col = dr.nstatic;
0020 <span class="keyword">for</span> i=M_.maximum_lag:-1:2
0021 i1 = find(k0(:,2) == i);
0022 n1 = size(i1,1);
0023 j = zeros(n1,1);
0024 <span class="keyword">for</span> j1 = 1:n1
0025 j(j1) = find(k0(i0,1)==k0(i1(j1),1));
0026 <span class="keyword">end</span>
0027 <span class="keyword">if</span> i == M_.maximum_lag-1
0028 offset_col = dr.nstatic+dr.nfwrd;
0029 <span class="keyword">end</span>
0030 A(n0+i1-dr.npred,offset_col+i0(j))=eye(n1);
0031 i0 = i1;
0032 <span class="keyword">end</span></pre></div>
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