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Consider the order {{{#latex $p$}}} VAR representation for the $1\times m$ vector of observed variables
$y_t$:
Consider the order [[latex($p$)]] VAR representation for the [[latex($1\times m$)]] vector of observed variables [[latex($y_t$)]]:
{{{#!latex
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where $u_t\sim \mathcal N\left( 0,\Sigma_u\right)$. Let $z_t$ be the $mp\times 1$ vector $\left[
y_{t-1}',...,y_{t-p}'\right]'$ and define $\mathbf{A}=\left[\mathbf A_1',...,\mathbf A_p'\right]'$,
the VAR representation can then be written in matrix form as:
}}}
where [[latex($u_t\sim \mathcal N\left( 0,\Sigma_u\right)$)]]. Let [[latex($z_t$)]] be the [[latex($mp\times 1$)]] vector [[latex($\left[
y_{t-1}',...,y_{t-p}'\right]'$)]] and define [[latex($\mathbf{A}=\left[\mathbf A_1',...,\mathbf A_p'\right]'$)]], the VAR representation can then be written in matrix form as:
{{{#!latex
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}}}

Consider the order latex($p$) VAR representation for the latex($1\times m$) vector of observed variables latex($y_t$):

\[
y_{t}=\sum_{k=1}^{p} y_{t-k} \mathbf{A}_{k} + u_t
\]

where latex($u_t\sim \mathcal N\left( 0,\Sigma_u\right)$). Let latex($z_t$) be the latex($mp\times 1$) vector [[latex($\left[ y_{t-1}',...,y_{t-p}'\right]'$)]] and define latex($\mathbf{A}=\left[\mathbf A_1',...,\mathbf A_p'\right]'$), the VAR representation can then be written in matrix form as:

\[
Y=Z\mathbf A +\mathcal U
\]

DynareWiki: DsgeVar (last edited 2016-03-23 14:35:36 by StéphaneAdjemian)