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    <title>topic Clarification on SAS ARIMA Manual (p. 209) in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952208#M47647</link>
    <description>&lt;P&gt;Dear SAS Community,&lt;/P&gt;&lt;P&gt;I am referring to the SAS ARIMA manual, page 209 ("Stationarity and Input Series"). I find the following statement confusing, and I apologize if I lack the knowledge to fully understand it:&lt;/P&gt;&lt;P&gt;"If the inputs are nonstationary, the response series will be nonstationary, even though the noise process might be stationary."&lt;/P&gt;&lt;P&gt;The reason I find this confusing is that if we have a raw data series for Yt​ and Yt&amp;nbsp;is stationary to begin with, then simply by regressing Yt​ on some nonstationary Xt​, it should not make original&amp;nbsp;Yt​ nonstationary because Yt​ is a known and given series (assumed to be stationary). Does SAS refer to the fitted values of Yt​? Or is there something else I am missing?&lt;/P&gt;&lt;P&gt;Thank you for your help.&lt;/P&gt;</description>
    <pubDate>Sat, 30 Nov 2024 18:55:44 GMT</pubDate>
    <dc:creator>sasalex2024</dc:creator>
    <dc:date>2024-11-30T18:55:44Z</dc:date>
    <item>
      <title>Clarification on SAS ARIMA Manual (p. 209)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952208#M47647</link>
      <description>&lt;P&gt;Dear SAS Community,&lt;/P&gt;&lt;P&gt;I am referring to the SAS ARIMA manual, page 209 ("Stationarity and Input Series"). I find the following statement confusing, and I apologize if I lack the knowledge to fully understand it:&lt;/P&gt;&lt;P&gt;"If the inputs are nonstationary, the response series will be nonstationary, even though the noise process might be stationary."&lt;/P&gt;&lt;P&gt;The reason I find this confusing is that if we have a raw data series for Yt​ and Yt&amp;nbsp;is stationary to begin with, then simply by regressing Yt​ on some nonstationary Xt​, it should not make original&amp;nbsp;Yt​ nonstationary because Yt​ is a known and given series (assumed to be stationary). Does SAS refer to the fitted values of Yt​? Or is there something else I am missing?&lt;/P&gt;&lt;P&gt;Thank you for your help.&lt;/P&gt;</description>
      <pubDate>Sat, 30 Nov 2024 18:55:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952208#M47647</guid>
      <dc:creator>sasalex2024</dc:creator>
      <dc:date>2024-11-30T18:55:44Z</dc:date>
    </item>
    <item>
      <title>Re: Clarification on SAS ARIMA Manual (p. 209)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952216#M47648</link>
      <description>""If the inputs are nonstationary, the response series"&lt;BR /&gt;I think Here "inputs" is Yt and "response series" is  fitted/predicted values of Yt​.&lt;BR /&gt;And better post it at Forecasting Forum, since it is about SAS/ETS .&lt;BR /&gt;&lt;A href="https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/bd-p/forecasting_econometrics" target="_blank"&gt;https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/bd-p/forecasting_econometrics&lt;/A&gt;</description>
      <pubDate>Sun, 01 Dec 2024 01:20:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952216#M47648</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2024-12-01T01:20:05Z</dc:date>
    </item>
    <item>
      <title>Re: Clarification on SAS ARIMA Manual (p. 209)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952235#M47649</link>
      <description>&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Sun, 01 Dec 2024 12:48:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952235#M47649</guid>
      <dc:creator>sasalex2024</dc:creator>
      <dc:date>2024-12-01T12:48:13Z</dc:date>
    </item>
    <item>
      <title>Re: Clarification on SAS ARIMA Manual (p. 209)</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952631#M47660</link>
      <description>&lt;P&gt;See "Forecasting &amp;amp; Econometrics" - board :&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Clarification-on-PROC-ARIMA-manual-p-209/td-p/952234" target="_blank"&gt;https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Clarification-on-PROC-ARIMA-manual-p-209/td-p/952234&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Thu, 05 Dec 2024 13:35:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clarification-on-SAS-ARIMA-Manual-p-209/m-p/952631#M47660</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2024-12-05T13:35:35Z</dc:date>
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