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    <title>topic Re: Model selection in proc panel in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200770#M1280</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have been thinking about this one and here is an idea.&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1) Time and cross-sectionally demean your data.&amp;nbsp; How to do this is shown here. &lt;A href="http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/viewer.htm#etsug_tscsreg_gettingstarted04.htm" title="http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/viewer.htm#etsug_tscsreg_gettingstarted04.htm"&gt;SAS/ETS(R) 14.1 User's Guide&lt;/A&gt; You will likely want to use some form of PROC TIMESERIES or some PROC MEANS calls to do this.&amp;nbsp; &lt;/P&gt;&lt;P&gt;2) Now that the data are "demeaned" a simple OLS estimate would give you your "Two-way FE" estimates.&amp;nbsp; From here you could then extend this regression by using PROC REG or perhaps better, PROC GLMSELECT &lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glmselect_syntax07.htm" title="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glmselect_syntax07.htm"&gt;SAS/STAT(R) 14.1 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;P&gt;and use whatever variable selection method you prefer.&amp;nbsp;&amp;nbsp; In essence, it would force FE into your model, with whatever final specification the algorithm chooses. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;*would love to see some of your results.&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Good luck-Ken &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 15 Jul 2015 19:14:16 GMT</pubDate>
    <dc:creator>ets_kps</dc:creator>
    <dc:date>2015-07-15T19:14:16Z</dc:date>
    <item>
      <title>Model selection in proc panel</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200768#M1278</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hey everyone,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am modelling variables with a two-way fixed effects model in SAS 9.4, in proc panel.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Do you know if there is a way to use the "selection"stepwise" option in the panel procedure? And if now, do you have any tips to automatically select your variables using for example the information critera?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you in advance,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;F. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 12 Jul 2015 15:27:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200768#M1278</guid>
      <dc:creator>flora1990</dc:creator>
      <dc:date>2015-07-12T15:27:24Z</dc:date>
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    <item>
      <title>Re: Model selection in proc panel</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200769#M1279</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Flora, &lt;/P&gt;&lt;P&gt;To my knowledge, PROC PANEL does not have a stepwise option. I'm not a fan of automatic selection, but there are a number of things you can do to go down that path. Given that the panel membership is reasonably highly correlated, you could pick a test subject and perform a stepwise OLS regression. Or similarly, perform a stepwise regression on the panel average. You could also produce ranked pairwise correlations to provide guidance while manually model building. On the complex side, you could write a macro for a panel stepwise selection using AIC/BIC instead of Rsq.&lt;/P&gt;&lt;P&gt;Hope this helps!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 15 Jul 2015 12:37:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200769#M1279</guid>
      <dc:creator>ChaseO</dc:creator>
      <dc:date>2015-07-15T12:37:49Z</dc:date>
    </item>
    <item>
      <title>Re: Model selection in proc panel</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200770#M1280</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have been thinking about this one and here is an idea.&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1) Time and cross-sectionally demean your data.&amp;nbsp; How to do this is shown here. &lt;A href="http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/viewer.htm#etsug_tscsreg_gettingstarted04.htm" title="http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/viewer.htm#etsug_tscsreg_gettingstarted04.htm"&gt;SAS/ETS(R) 14.1 User's Guide&lt;/A&gt; You will likely want to use some form of PROC TIMESERIES or some PROC MEANS calls to do this.&amp;nbsp; &lt;/P&gt;&lt;P&gt;2) Now that the data are "demeaned" a simple OLS estimate would give you your "Two-way FE" estimates.&amp;nbsp; From here you could then extend this regression by using PROC REG or perhaps better, PROC GLMSELECT &lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glmselect_syntax07.htm" title="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glmselect_syntax07.htm"&gt;SAS/STAT(R) 14.1 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;P&gt;and use whatever variable selection method you prefer.&amp;nbsp;&amp;nbsp; In essence, it would force FE into your model, with whatever final specification the algorithm chooses. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;*would love to see some of your results.&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Good luck-Ken &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 15 Jul 2015 19:14:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Model-selection-in-proc-panel/m-p/200770#M1280</guid>
      <dc:creator>ets_kps</dc:creator>
      <dc:date>2015-07-15T19:14:16Z</dc:date>
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