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	<title>Aptech &#187; Answers for "Markov Switching-Vector Autoregression model"</title>
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		<title>By: Aptech</title>
		<link>http://www.aptech.com/questions/markov-switching-vector-autoregression-model/#answer-2980</link>
		<comments>http://www.aptech.com/questions/markov-switching-vector-autoregression-model/#answer-2980#comments</comments>
		<pubDate>Fri, 28 Dec 2012 20:10:01 +0000</pubDate>
		<dc:creator>Aptech</dc:creator>
		
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		<description><![CDATA[The application Time Series MT, has a function switchmt for this type of estimation. It assumes that exogenous independent variables switch with the regimes. So if you specify three exogenous variables  and two states, there would be a total of &#8230; <a href="http://www.aptech.com/questions/markov-switching-vector-autoregression-model/#answer-2980">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<p>The application <a title="Time Series MT for GAUSS" href="http://www.aptech.com/products/gauss-applications/time-series-mt/" target="_blank">Time Series MT</a>, has a function <a title="Markov-switching example with TSMT" href="http://www.aptech.com/products/gauss-applications/time-series-mt/example-pt-2/" target="_blank"><tt>switchmt</tt></a> for this type of estimation. It assumes that exogenous independent variables switch with the regimes. So if you specify three exogenous variables  and two states, there would be a total of six coefficients for the exogenous variables (3 parameters x 2 states).</p>
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