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    <title>topic PROC VARMAX model is not full rank in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836913#M4527</link>
    <description>Dear All,&lt;BR /&gt;&lt;BR /&gt;I am attempting to run a VAR model with the PROC VARMAX function with my dataset. My data are all modulus transformed and have two dummy variables and I want to output 1-4 lags. I noticed that some failed at the second lag onwards with the error message: "The model is not full rank. The VARMAX procedure stopped processing further steps." even without the dummy variables.&lt;BR /&gt;&lt;BR /&gt;For example, I have quarterly data from March 2007 to December 2021 and I have 2 variables (including dependent without dummy) I will be able to get output up to 4 lags, but after including the two dummies I can only get 1 lag VAR model with the above error message for the remaining lags.&lt;BR /&gt;&lt;BR /&gt;The second dummy is the subset of the first dummy, i.e. dummy #2 can be 0 or 1 when dummy #1 is 1&lt;BR /&gt;&lt;BR /&gt;Appreciate any kind assistance, thank you.</description>
    <pubDate>Wed, 05 Oct 2022 11:25:37 GMT</pubDate>
    <dc:creator>itslarajean</dc:creator>
    <dc:date>2022-10-05T11:25:37Z</dc:date>
    <item>
      <title>PROC VARMAX model is not full rank</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836913#M4527</link>
      <description>Dear All,&lt;BR /&gt;&lt;BR /&gt;I am attempting to run a VAR model with the PROC VARMAX function with my dataset. My data are all modulus transformed and have two dummy variables and I want to output 1-4 lags. I noticed that some failed at the second lag onwards with the error message: "The model is not full rank. The VARMAX procedure stopped processing further steps." even without the dummy variables.&lt;BR /&gt;&lt;BR /&gt;For example, I have quarterly data from March 2007 to December 2021 and I have 2 variables (including dependent without dummy) I will be able to get output up to 4 lags, but after including the two dummies I can only get 1 lag VAR model with the above error message for the remaining lags.&lt;BR /&gt;&lt;BR /&gt;The second dummy is the subset of the first dummy, i.e. dummy #2 can be 0 or 1 when dummy #1 is 1&lt;BR /&gt;&lt;BR /&gt;Appreciate any kind assistance, thank you.</description>
      <pubDate>Wed, 05 Oct 2022 11:25:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836913#M4527</guid>
      <dc:creator>itslarajean</dc:creator>
      <dc:date>2022-10-05T11:25:37Z</dc:date>
    </item>
    <item>
      <title>Re: PROC VARMAX model is not full rank</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836946#M4528</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It seems to me you have&amp;nbsp;&lt;SPAN&gt;a redundant variable (or variable&lt;STRONG&gt;S&lt;/STRONG&gt;), no?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Using the default METHOD=ML, you probably have to comment out the XLAG= option and reduce the P= option from &lt;EM&gt;higher&lt;/EM&gt; to &lt;EM&gt;lower&lt;/EM&gt; in order to estimate the model error-free. Correct?&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can also try the newer CML estimation method.&amp;nbsp; &lt;BR /&gt;The parameter estimates associated with redundant terms generated by the XLAG= option are then set to 0, I believe. &amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;However, you still might need to omit some redundant regressors from the MODEL statement to be able to submit error-free.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Best,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Koen&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 05 Oct 2022 13:43:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836946#M4528</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-10-05T13:43:48Z</dc:date>
    </item>
    <item>
      <title>Re: PROC VARMAX model is not full rank</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836947#M4529</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/60547"&gt;@sbxkoenk&lt;/a&gt;&amp;nbsp;wrote:
&lt;P&gt;It seems to me you have&amp;nbsp;&lt;SPAN&gt;a redundant variable (or variable&lt;STRONG&gt;S&lt;/STRONG&gt;), no?&lt;/SPAN&gt;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;Or much less likely, but also a possible cause, a linear combination of some of the x-variables is perfectly correlated with a linear combination of other x-variables. Example: if x1+x2 is always exactly equal to x3–7*x4, the same error message would likely appear.&lt;/P&gt;</description>
      <pubDate>Wed, 05 Oct 2022 13:57:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-VARMAX-model-is-not-full-rank/m-p/836947#M4529</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2022-10-05T13:57:13Z</dc:date>
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