<listitem><para>Computes a conditional variance decomposition for the specified period(s). Conditional variances are given by var(y<subscript>t+k</subscript>|t). For period 1, the conditional variance decomposition provides the decomposition of the effects of shocks upon impact.</para></listitem>
</varlistentry>
</varlistentry>
<varlistentry>
<term><option>pruning</option></term>
<listitem><para>Discard higher order terms when iteratively computing simulations of the solution, as in <xreflinkend="kim-kim-schaumburg-sims_2008"/>.</para></listitem>
</varlistentry>
</variablelist>
</refsect1>
...
...
@@ -4404,5 +4408,37 @@ plot_conditional_forecast(periods = 10) e u;
</biblioentry>
<biblioentryid="kim-kim-schaumburg-sims_2008"xreflabel="Kim, Kim, Schaumburg and Sims (2008)">
<bibliosetrelation="article">
<authorgroup>
<author>
<surname>Kim</surname>
<firstname>Jinill</firstname>
</author>
<author>
<surname>Kim</surname>
<firstname>Sunghyun</firstname>
</author>
<author>
<surname>Schaumburg</surname>
<firstname>Ernst</firstname>
</author>
<author>
<surname>Sims</surname>
<firstname>Christopher A.</firstname>
</author>
</authorgroup>
<pubdate>2008</pubdate>
<title>Calculating and using second-order accurate solutions of discrete time dynamic equilibrium models</title>
</biblioset>
<bibliosetrelation="journal">
<title>Journal of Economic Dynamics and Control</title>