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    <title>topic Re: GMM Estimation in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310563#M16420</link>
    <description>&lt;P&gt;Thank you Ksharp,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have posted it at Forecasting forum.&lt;/P&gt;</description>
    <pubDate>Thu, 10 Nov 2016 03:39:01 GMT</pubDate>
    <dc:creator>mspak</dc:creator>
    <dc:date>2016-11-10T03:39:01Z</dc:date>
    <item>
      <title>GMM Estimation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310354#M16412</link>
      <description>&lt;P&gt;Dear all,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am experiencing problem on using PROC PANEL in running GMM model. I have a dataset (attached) with the following variables:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;GVKEY = firm identification code&lt;/P&gt;
&lt;P&gt;FYEAR = financial year&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Samples:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;DIV = dummy variable 1 or 0&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Dependent variable:&lt;/P&gt;
&lt;P&gt;RD = research &amp;amp; development costs, R&amp;amp;D&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Independent variables:&lt;/P&gt;
&lt;P&gt;RDRD = quadratic term of R&amp;amp;D&lt;/P&gt;
&lt;P&gt;MB = market to book ratio&lt;/P&gt;
&lt;P&gt;SGWTH =&amp;nbsp;sales growth&lt;/P&gt;
&lt;P&gt;CHG_WC = change of main effect&lt;/P&gt;
&lt;P&gt;STKISSUES = stock issues&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The following is my requirement&amp;nbsp;s:&lt;/P&gt;
&lt;P&gt;1. I wish to run a GMM with&amp;nbsp;dependent variable, RD. lagged RD should be included as independent variable in the GMM model for two samples, DIV = 0 and DIV = 1.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2. No lagged value of the independent variables of RDRD,&amp;nbsp;MB &amp;nbsp;and SGWTH.&lt;/P&gt;
&lt;P&gt;3. Lagged value of the independent variables of CHG_WC and STKISSUES are to be generated.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;4. To assess instrument validity using AR and Sargan test.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am using the following program to run the regression, however, the results were not generated due to shortage of memory:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc sort data=want1;&lt;BR /&gt;by gvkey fyear;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc panel data=FC.want1;&lt;BR /&gt;by DIV;&lt;BR /&gt;id gvkey fyear;&lt;BR /&gt;model RD = LAGRD RDRD MB SGWTH CHG_WC STKISSUES &lt;BR /&gt;/ gmm nolevels twostep maxband=5 artest = 2;;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am not sure is there any problem on the above program? Can Proc Panel help to generate the lagged variables of&amp;nbsp;&lt;SPAN&gt;CHG_WC and STKISSUES authomatically?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you and hope to get reply soon.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;MSPAK&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 09 Nov 2016 13:06:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310354#M16412</guid>
      <dc:creator>mspak</dc:creator>
      <dc:date>2016-11-09T13:06:14Z</dc:date>
    </item>
    <item>
      <title>Re: GMM Estimation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310557#M16419</link>
      <description>&lt;PRE&gt;
It is a question about ETS . plz post it at Forecasting Forum.


&lt;/PRE&gt;</description>
      <pubDate>Thu, 10 Nov 2016 03:13:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310557#M16419</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-11-10T03:13:47Z</dc:date>
    </item>
    <item>
      <title>Re: GMM Estimation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310563#M16420</link>
      <description>&lt;P&gt;Thank you Ksharp,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have posted it at Forecasting forum.&lt;/P&gt;</description>
      <pubDate>Thu, 10 Nov 2016 03:39:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GMM-Estimation/m-p/310563#M16420</guid>
      <dc:creator>mspak</dc:creator>
      <dc:date>2016-11-10T03:39:01Z</dc:date>
    </item>
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