<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Dynamic regression models with external factors in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336365#M2162</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am trying to program a regression model which includes multiple independent variables and a lagged dependent variable. It can be written as&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Yt=a0 + a1*X1+a2*X2+a3*X3+a4*Yt-1&lt;/P&gt;
&lt;P&gt;where Yt is predicted value at time t, X1-X4 are independent varibales, Yt-1 is the predicted value at time t-1, and a0-a4 are parameters.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;My questions is which proc statement I should use.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Sherri&lt;/P&gt;</description>
    <pubDate>Mon, 27 Feb 2017 22:31:50 GMT</pubDate>
    <dc:creator>SherriF</dc:creator>
    <dc:date>2017-02-27T22:31:50Z</dc:date>
    <item>
      <title>Dynamic regression models with external factors</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336365#M2162</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am trying to program a regression model which includes multiple independent variables and a lagged dependent variable. It can be written as&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Yt=a0 + a1*X1+a2*X2+a3*X3+a4*Yt-1&lt;/P&gt;
&lt;P&gt;where Yt is predicted value at time t, X1-X4 are independent varibales, Yt-1 is the predicted value at time t-1, and a0-a4 are parameters.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;My questions is which proc statement I should use.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Sherri&lt;/P&gt;</description>
      <pubDate>Mon, 27 Feb 2017 22:31:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336365#M2162</guid>
      <dc:creator>SherriF</dc:creator>
      <dc:date>2017-02-27T22:31:50Z</dc:date>
    </item>
    <item>
      <title>Re: Dynamic regression models with external factors</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336418#M2164</link>
      <description>&lt;P&gt;If I was right, PROC ARIMA could do it .&lt;/P&gt;</description>
      <pubDate>Tue, 28 Feb 2017 02:28:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336418#M2164</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-02-28T02:28:31Z</dc:date>
    </item>
    <item>
      <title>Re: Dynamic regression models with external factors</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336471#M2165</link>
      <description>&lt;P&gt;.. or proc autoreg (use nlag for yt-1) or even proc reg (if you use lag function on y).&lt;/P&gt;</description>
      <pubDate>Tue, 28 Feb 2017 08:41:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Dynamic-regression-models-with-external-factors/m-p/336471#M2165</guid>
      <dc:creator>user24feb</dc:creator>
      <dc:date>2017-02-28T08:41:38Z</dc:date>
    </item>
  </channel>
</rss>

