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    <title>topic Re: PROC ARIMA with exogenous variable in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-ARIMA-with-exogenous-variable/m-p/341769#M2214</link>
    <description>&lt;P&gt;Have you tried using the input&amp;nbsp;option in PROC ARIMA to include the &lt;SPAN&gt;retail_day&lt;/SPAN&gt; in the model? There are some examples&amp;nbsp;documented in &lt;A href="http://support.sas.com/documentation/cdl/en/etsug/66840/HTML/default/viewer.htm#etsug_arima_gettingstarted25.htm" target="_blank"&gt;http://support.sas.com/documentation/cdl/en/etsug/66840/HTML/default/viewer.htm#etsug_arima_gettingstarted25.htm&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 16 Mar 2017 21:04:46 GMT</pubDate>
    <dc:creator>YueLi</dc:creator>
    <dc:date>2017-03-16T21:04:46Z</dc:date>
    <item>
      <title>PROC ARIMA with exogenous variable</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-ARIMA-with-exogenous-variable/m-p/249255#M1587</link>
      <description>&lt;P&gt;Hi SAS Community,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am running forecast for retail sales using ARIMA model. There is an input vairable available, retail_day,&amp;nbsp;which is an indicator whether a day is a retail date or not: 1 for a retail date, and 0 for non-retail date. A retail date means that stores are open and that retail sales are happening.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As the retail calendar is planned based on the calendar, the future values are known. For example, 2/2/2016 is the first day of the retail calendar month, and 2/29/2016 is the last day/the 24th day of the retail calendar. The retail sales are low&amp;nbsp;at the beginning of each month and&amp;nbsp;high at the end of each month.Please see the sample data as attached.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Is there anyway to incorporate the input variable, retail_day, in the ARIMA model to capture the retail calendar effect? Moreover, I only have 3 year historical data, which makes it hard to do seasonal adjustment.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any suggestions?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks a lot!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 10 Feb 2016 16:58:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-ARIMA-with-exogenous-variable/m-p/249255#M1587</guid>
      <dc:creator>lizzy28</dc:creator>
      <dc:date>2016-02-10T16:58:50Z</dc:date>
    </item>
    <item>
      <title>Re: PROC ARIMA with exogenous variable</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-ARIMA-with-exogenous-variable/m-p/341769#M2214</link>
      <description>&lt;P&gt;Have you tried using the input&amp;nbsp;option in PROC ARIMA to include the &lt;SPAN&gt;retail_day&lt;/SPAN&gt; in the model? There are some examples&amp;nbsp;documented in &lt;A href="http://support.sas.com/documentation/cdl/en/etsug/66840/HTML/default/viewer.htm#etsug_arima_gettingstarted25.htm" target="_blank"&gt;http://support.sas.com/documentation/cdl/en/etsug/66840/HTML/default/viewer.htm#etsug_arima_gettingstarted25.htm&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 16 Mar 2017 21:04:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-ARIMA-with-exogenous-variable/m-p/341769#M2214</guid>
      <dc:creator>YueLi</dc:creator>
      <dc:date>2017-03-16T21:04:46Z</dc:date>
    </item>
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