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    <title>topic Re: VAR Granger Causality- Proc Varmax in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/VAR-Granger-Causality-Proc-Varmax/m-p/172009#M1085</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The Akaike (AIC) or the Schwarz-Bayesian (SBC) criterion can be used to determine the proper order of p. It is in the SAS output.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 17 Jul 2014 11:15:17 GMT</pubDate>
    <dc:creator>user24feb</dc:creator>
    <dc:date>2014-07-17T11:15:17Z</dc:date>
    <item>
      <title>VAR Granger Causality- Proc Varmax</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/VAR-Granger-Causality-Proc-Varmax/m-p/172008#M1084</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I am trying to do VAR Granger Causality using Proc Varmax by the below code:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;PRE style="padding: 1.4em 0 0 12px; font-size: 12px; font-family: monospace; color: #333333;"&gt;
&lt;P&gt;&amp;nbsp; /*--- Causality Testing ---*/&lt;/P&gt;
&lt;P&gt;proc varmax data=grunfeld;&lt;/P&gt;
&lt;P&gt;model y1-y3 = x1 x2 / p=1 noprint;&lt;/P&gt;
&lt;P&gt;causal group1=(x1) group2=(y1-y3); causal group1=(y3) group2=(y1 y2);&lt;/P&gt;
&lt;P&gt;run; &lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;/PRE&gt;&lt;P&gt;My question, how can I choose how many lag or&amp;nbsp; the value for p- p=????? (I think it is how many lag to test but how shall I choose it)?&lt;/P&gt;&lt;P&gt;My results changed significantly if I change the value for p&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 09 Jul 2014 02:34:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/VAR-Granger-Causality-Proc-Varmax/m-p/172008#M1084</guid>
      <dc:creator>boas3ad</dc:creator>
      <dc:date>2014-07-09T02:34:07Z</dc:date>
    </item>
    <item>
      <title>Re: VAR Granger Causality- Proc Varmax</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/VAR-Granger-Causality-Proc-Varmax/m-p/172009#M1085</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The Akaike (AIC) or the Schwarz-Bayesian (SBC) criterion can be used to determine the proper order of p. It is in the SAS output.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 17 Jul 2014 11:15:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/VAR-Granger-Causality-Proc-Varmax/m-p/172009#M1085</guid>
      <dc:creator>user24feb</dc:creator>
      <dc:date>2014-07-17T11:15:17Z</dc:date>
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