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    <title>topic Re: Proc quantreg( quantile regression) in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Proc-quantreg-quantile-regression/m-p/193861#M48700</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;At first I wondered if it is because your data are degenerate, in the sense that yearprimary is throwing df=0, meaning all obs have the same value.&amp;nbsp; However, that is not the problem--you need to include a CI= option in the PROC QUANTREG statement.&amp;nbsp; To get standard errors, t values and p values, you have to put CI=SPARSITY or CI=RESAMPLING on as options.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 02 Jul 2015 19:19:18 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2015-07-02T19:19:18Z</dc:date>
    <item>
      <title>Proc quantreg( quantile regression)</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-quantreg-quantile-regression/m-p/193860#M48699</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi guys.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am using quantile regression to do an assignment. But I encountered a problem.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is my sas program about the quantile regression part.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc quantreg data=basic;&lt;/P&gt;&lt;P&gt;model lwage=exp exp2 public selfemploy yearprimary yearsecondary yearhigher ill/quantile=0.05 0.10 0.25 0.50 0.75 0.90 0.95;&lt;/P&gt;&lt;P&gt;test exp exp2 public selfemploy yearprimary yearsecondary yearhigher ill/wald lr;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My problem is about the output "Parameter Estimates" &lt;/P&gt;&lt;P&gt;&lt;IMG alt="Parameter Estimates.jpg" class="jive-image" src="https://communities.sas.com/legacyfs/online/11058_Parameter Estimates.jpg" /&gt;&lt;/P&gt;&lt;P&gt;it does not show the t values and p values as usual.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;How can I fix this problem? I am using sas 9.3.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you so much!!!!&lt;/P&gt;&lt;BR /&gt;&lt;IMG src="https://communities.sas.com/t5/image/serverpage/image-id/11605i4DDD13FBC291AE31/image-size/large?v=1.0&amp;amp;px=600" border="0" alt="Parameter Estimates.jpg" title="Parameter Estimates.jpg" /&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 01 Jul 2015 19:37:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-quantreg-quantile-regression/m-p/193860#M48699</guid>
      <dc:creator>eureka123</dc:creator>
      <dc:date>2015-07-01T19:37:57Z</dc:date>
    </item>
    <item>
      <title>Re: Proc quantreg( quantile regression)</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-quantreg-quantile-regression/m-p/193861#M48700</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;At first I wondered if it is because your data are degenerate, in the sense that yearprimary is throwing df=0, meaning all obs have the same value.&amp;nbsp; However, that is not the problem--you need to include a CI= option in the PROC QUANTREG statement.&amp;nbsp; To get standard errors, t values and p values, you have to put CI=SPARSITY or CI=RESAMPLING on as options.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 02 Jul 2015 19:19:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-quantreg-quantile-regression/m-p/193861#M48700</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-07-02T19:19:18Z</dc:date>
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