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    <title>topic Re: nonlinear regression in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/nonlinear-regression/m-p/208945#M1323</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am not an expert on PROC MODEL, but I thought that gmm would require an INSTRUMENTS statement, which here would be pretty simple.&amp;nbsp; If you explicitly specify the moments, then it might be an intercept only situation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For examples, see 19.18 Duration Data Model with Unobserved Heterogeneity in the SAS/ETS13.2 documentation.&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>Fri, 08 May 2015 15:36:09 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2015-05-08T15:36:09Z</dc:date>
    <item>
      <title>nonlinear regression</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/nonlinear-regression/m-p/208944#M1322</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I want to estimate this equation y=a+b1*x+b2*x**(2) &lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;using gmm&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;When I write this program it does not work&lt;/P&gt;&lt;P&gt;proc model data= bb.mstylevw;&lt;/P&gt;&lt;P&gt;parms a b1 b2 ;&lt;/P&gt;&lt;P&gt;y=a+b1*x+b2 *x**(2);&lt;/P&gt;&lt;P&gt;fit y / gmm;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;quit;&lt;/P&gt;&lt;P&gt;when I remove Gmm, it works and it gives me regression using OLS&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;proc model data= bb.mstylevw;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;parms a b1 b2 ;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;y=a+b1*x+b2 *x**(2);&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;fit y / ;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;run;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;quit;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 04 May 2015 15:01:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/nonlinear-regression/m-p/208944#M1322</guid>
      <dc:creator>sasphd</dc:creator>
      <dc:date>2015-05-04T15:01:23Z</dc:date>
    </item>
    <item>
      <title>Re: nonlinear regression</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/nonlinear-regression/m-p/208945#M1323</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am not an expert on PROC MODEL, but I thought that gmm would require an INSTRUMENTS statement, which here would be pretty simple.&amp;nbsp; If you explicitly specify the moments, then it might be an intercept only situation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For examples, see 19.18 Duration Data Model with Unobserved Heterogeneity in the SAS/ETS13.2 documentation.&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>Fri, 08 May 2015 15:36:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/nonlinear-regression/m-p/208945#M1323</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-05-08T15:36:09Z</dc:date>
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