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    <title>topic Autoregressive model with exogenous covariates ? in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Autoregressive-model-with-exogenous-covariates/m-p/7281#M30</link>
    <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
I would like to model a time series where the value depends on its lag, and also on two covariates. More precisely, this is the last equation in the following picture :&lt;BR /&gt;
&lt;BR /&gt;
&lt;A href="http://img297.imageshack.us/img297/2862/eqwh5.jpg" target="_blank"&gt;http://img297.imageshack.us/img297/2862/eqwh5.jpg&lt;/A&gt;&lt;BR /&gt;
&lt;BR /&gt;
just for your information, LE is Life Expectancy, EXP is Expenditure, and INV is Innovation.&lt;BR /&gt;
&lt;BR /&gt;
And the problem is, I just don't how to model it with SAS, let alone interpret it. I know AR(1) models, but I've never learnt what to do when you put some other variables in. I found some articles about this, but nothing explaining how to do it with SAS, which is why I seek for help here.&lt;BR /&gt;
&lt;BR /&gt;
Thanks in advance&lt;BR /&gt;
&lt;BR /&gt;
Message was edited by: Matiou

Message was edited by: Matiou</description>
    <pubDate>Thu, 06 Mar 2008 11:59:51 GMT</pubDate>
    <dc:creator>Matiou</dc:creator>
    <dc:date>2008-03-06T11:59:51Z</dc:date>
    <item>
      <title>Autoregressive model with exogenous covariates ?</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Autoregressive-model-with-exogenous-covariates/m-p/7281#M30</link>
      <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
I would like to model a time series where the value depends on its lag, and also on two covariates. More precisely, this is the last equation in the following picture :&lt;BR /&gt;
&lt;BR /&gt;
&lt;A href="http://img297.imageshack.us/img297/2862/eqwh5.jpg" target="_blank"&gt;http://img297.imageshack.us/img297/2862/eqwh5.jpg&lt;/A&gt;&lt;BR /&gt;
&lt;BR /&gt;
just for your information, LE is Life Expectancy, EXP is Expenditure, and INV is Innovation.&lt;BR /&gt;
&lt;BR /&gt;
And the problem is, I just don't how to model it with SAS, let alone interpret it. I know AR(1) models, but I've never learnt what to do when you put some other variables in. I found some articles about this, but nothing explaining how to do it with SAS, which is why I seek for help here.&lt;BR /&gt;
&lt;BR /&gt;
Thanks in advance&lt;BR /&gt;
&lt;BR /&gt;
Message was edited by: Matiou

Message was edited by: Matiou</description>
      <pubDate>Thu, 06 Mar 2008 11:59:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Autoregressive-model-with-exogenous-covariates/m-p/7281#M30</guid>
      <dc:creator>Matiou</dc:creator>
      <dc:date>2008-03-06T11:59:51Z</dc:date>
    </item>
    <item>
      <title>Re: Autoregressive model with exogenous covariates ?</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Autoregressive-model-with-exogenous-covariates/m-p/7282#M31</link>
      <description>2 suggestions. &lt;BR /&gt;
&lt;BR /&gt;
1. When you use PROC ARIMA, you can specify CROSSCOR=variable-list in the INDENTIFY statement and INPUT=variable-list in ESTIMATE statement.&lt;BR /&gt;
&lt;BR /&gt;
2. When you use PROC UCM, you can specify dep_variable=variable-list in MODEL statement and LAGS=n in DEPLAG statement.

Message was edited by: Doudou</description>
      <pubDate>Thu, 22 May 2008 20:14:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Autoregressive-model-with-exogenous-covariates/m-p/7282#M31</guid>
      <dc:creator>Doudou</dc:creator>
      <dc:date>2008-05-22T20:14:30Z</dc:date>
    </item>
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