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    <title>topic Re: proc model dummies in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450746#M3067</link>
    <description>Thanks you.&lt;BR /&gt;Just to give you an idea of my data&lt;BR /&gt;&lt;BR /&gt;id EI  G LTG GI MC MRC SC MCG&lt;BR /&gt;1   0  0   0      0   0     0       0    1&lt;BR /&gt;2   1  0   0      0   0     0       0    0</description>
    <pubDate>Tue, 03 Apr 2018 16:48:26 GMT</pubDate>
    <dc:creator>sasphd</dc:creator>
    <dc:date>2018-04-03T16:48:26Z</dc:date>
    <item>
      <title>proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450683#M3059</link>
      <description>&lt;P&gt;I am runnig proc model and when I add dummies in my regression the model converges but in the output T-values are &lt;STRONG&gt;B.&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;what does it mean and How I can solve that????&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 14:58:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450683#M3059</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T14:58:55Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450689#M3060</link>
      <description>&lt;P&gt;You likely over parameterized your model. How did you create your dummy variables? If you had a variable with, say 3 levels, did you include 2 or 3 dummy variables?&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 15:04:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450689#M3060</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T15:04:17Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450702#M3061</link>
      <description>&lt;P&gt;this my model&amp;nbsp;&lt;/P&gt;
&lt;P&gt;disGDFF=a+a1*logage+a2*logTNA+a3*logMT+a4*EXP_RATIO+a5*turn+a6*logtnasq+a7*AG+a8*EI+a9*G+a10*LTG+a11*GI+a12*MC+a13*MRC+a14*SC+a15*MCG;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;AG EI G LTG GI MC MRC SC MCG are style dummies variables. by line dummy will be 1 for one style for example G and 0 for others styles&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 15:22:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450702#M3061</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T15:22:36Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450703#M3062</link>
      <description>&lt;P&gt;That doesn't answer my questions.&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/4327"&gt;@sasphd&lt;/a&gt; wrote:&lt;BR /&gt;
&lt;P&gt;this my model&amp;nbsp;&lt;/P&gt;
&lt;P&gt;disGDFF=a+a1*logage+a2*logTNA+a3*logMT+a4*EXP_RATIO+a5*turn+a6*logtnasq+a7*AG+a8*EI+a9*G+a10*LTG+a11*GI+a12*MC+a13*MRC+a14*SC+a15*MCG;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;AG EI G LTG GI MC MRC SC MCG are style dummies variables. by line dummy will be 1 for one style for example G and 0 for others styles&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 15:23:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450703#M3062</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T15:23:37Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450713#M3063</link>
      <description>so I did not understand your question ?? can you please explain what did you mean by levels&lt;BR /&gt;How did you create your dummy variables? &lt;BR /&gt;if the style = AG so AG=1 else AG=0&lt;BR /&gt;</description>
      <pubDate>Tue, 03 Apr 2018 15:48:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450713#M3063</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T15:48:38Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450715#M3064</link>
      <description>&lt;P&gt;If you have a categorical variable, say Sex, it has two levels, F and M.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Using whatever method you used to create the dummy variables did you create one or two dummy variables?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/4327"&gt;@sasphd&lt;/a&gt; wrote:&lt;BR /&gt;so I did not understand your question ?? can you please explain what did you mean by levels&lt;BR /&gt;How did you create your dummy variables? &lt;BR /&gt;if the style = AG so AG=1 else AG=0&lt;BR /&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 15:49:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450715#M3064</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T15:49:51Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450743#M3065</link>
      <description>&lt;P&gt;for each dummy variable is 1 or 0&lt;/P&gt;
&lt;P&gt;and I have nine dummies variables&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 16:27:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450743#M3065</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T16:27:33Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450744#M3066</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I can't see your data or code so I'm trying to make a generic example that we can both refer to, which is why I'm using SEX as the example.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you had SASHELP.CLASS for example and wanted to include Sex in the model, which has 2 levels, F and M.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You would create N-1 dummy variables, where N is the number of levels.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So this means 1 dummy variable, such as Sex: 1 = Female, 0 = male.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I don't know what you did or how you created your variables (I have asked but you never answered the questions) so I'm assuming you created two dummy variables. Because of this, the dummies are linear combinations of each other so that there is redundant information. In this case, there cannot be an estimate for one of the dummy variables.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Good Luck.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 16:31:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450744#M3066</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T16:31:49Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450746#M3067</link>
      <description>Thanks you.&lt;BR /&gt;Just to give you an idea of my data&lt;BR /&gt;&lt;BR /&gt;id EI  G LTG GI MC MRC SC MCG&lt;BR /&gt;1   0  0   0      0   0     0       0    1&lt;BR /&gt;2   1  0   0      0   0     0       0    0</description>
      <pubDate>Tue, 03 Apr 2018 16:48:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450746#M3067</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T16:48:26Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450748#M3068</link>
      <description>&lt;P&gt;You need to answer the initial questions.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How many categories did you originally have before creating dummy variables?&lt;/P&gt;
&lt;P&gt;Your Answer:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How many dummy variables did you created?&lt;/P&gt;
&lt;P&gt;Your Answer:&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 16:51:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450748#M3068</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T16:51:31Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450766#M3069</link>
      <description>&lt;P&gt;How many categories did you originally have before creating dummy variables?&lt;/P&gt;
&lt;P&gt;Your Answer: 9&amp;nbsp;&lt;SPAN&gt;categories&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How many dummy variables did you created?&lt;/P&gt;
&lt;P&gt;Your Answer: 9&amp;nbsp;&lt;SPAN&gt;categories&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 17:54:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450766#M3069</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T17:54:25Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450768#M3070</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/4327"&gt;@sasphd&lt;/a&gt; wrote:&lt;BR /&gt;
&lt;P&gt;How many categories did you originally have before creating dummy variables?&lt;/P&gt;
&lt;P&gt;Your Answer: 9&amp;nbsp;&lt;SPAN&gt;categories&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How many dummy variables did you created?&lt;/P&gt;
&lt;P&gt;Your Answer: 9&amp;nbsp;&lt;SPAN&gt;categories&lt;/SPAN&gt;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;You need 8, not 9. Because you can figure out the 9th from the other 8.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So you either get one that's reported as B, or exclude it from the analysis in the first place. This is known as your reference group, what all the other levels are compared to as the 'baseline' for example.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 18:02:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450768#M3070</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T18:02:36Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450769#M3071</link>
      <description>&lt;A href="https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faqwhat-is-dummy-coding/" target="_blank"&gt;https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faqwhat-is-dummy-coding/&lt;/A&gt;</description>
      <pubDate>Tue, 03 Apr 2018 18:03:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450769#M3071</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-04-03T18:03:43Z</dc:date>
    </item>
    <item>
      <title>Re: proc model dummies</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450875#M3072</link>
      <description>&lt;P&gt;thanks I find the solution. just eliminate the constant in the model.&lt;/P&gt;</description>
      <pubDate>Tue, 03 Apr 2018 20:33:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/proc-model-dummies/m-p/450875#M3072</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2018-04-03T20:33:20Z</dc:date>
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