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    <title>topic Re: Panel Data Variance Decomposition in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141489#M893</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello, &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is how you request the variance decomposition from the procedure. It gives you the within and between variation for the VC model.&amp;nbsp; You can grab this example and run it in SAS.&amp;nbsp; Also, to get the full output from the procedure, simply delete the line "ods select VarianceComponents". I included it to keep your output as small as possible. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;data greene;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; input firm year production cost @@;&lt;/P&gt;&lt;P&gt;datalines;&lt;/P&gt;&lt;P&gt;1 1955&amp;nbsp;&amp;nbsp; 5.36598&amp;nbsp;&amp;nbsp; 1.14867&amp;nbsp; 1 1960&amp;nbsp;&amp;nbsp; 6.03787&amp;nbsp;&amp;nbsp; 1.45185&lt;/P&gt;&lt;P&gt;1 1965&amp;nbsp;&amp;nbsp; 6.37673&amp;nbsp;&amp;nbsp; 1.52257&amp;nbsp; 1 1970&amp;nbsp;&amp;nbsp; 6.93245&amp;nbsp;&amp;nbsp; 1.76627&lt;/P&gt;&lt;P&gt;2 1955&amp;nbsp;&amp;nbsp; 6.54535&amp;nbsp;&amp;nbsp; 1.35041&amp;nbsp; 2 1960&amp;nbsp;&amp;nbsp; 6.69827&amp;nbsp;&amp;nbsp; 1.71109&lt;/P&gt;&lt;P&gt;2 1965&amp;nbsp;&amp;nbsp; 7.40245&amp;nbsp;&amp;nbsp; 2.09519&amp;nbsp; 2 1970&amp;nbsp;&amp;nbsp; 7.82644&amp;nbsp;&amp;nbsp; 2.39480&lt;/P&gt;&lt;P&gt;3 1955&amp;nbsp;&amp;nbsp; 8.07153&amp;nbsp;&amp;nbsp; 2.94628&amp;nbsp; 3 1960&amp;nbsp;&amp;nbsp; 8.47679&amp;nbsp;&amp;nbsp; 3.25967&lt;/P&gt;&lt;P&gt;3 1965&amp;nbsp;&amp;nbsp; 8.66923&amp;nbsp;&amp;nbsp; 3.47952&amp;nbsp; 3 1970&amp;nbsp;&amp;nbsp; 9.13508&amp;nbsp;&amp;nbsp; 3.71795&lt;/P&gt;&lt;P&gt;4 1955&amp;nbsp;&amp;nbsp; 8.64259&amp;nbsp;&amp;nbsp; 3.56187&amp;nbsp; 4 1960&amp;nbsp;&amp;nbsp; 8.93748&amp;nbsp;&amp;nbsp; 3.93400&lt;/P&gt;&lt;P&gt;4 1965&amp;nbsp;&amp;nbsp; 9.23073&amp;nbsp;&amp;nbsp; 4.11161&amp;nbsp; 4 1970&amp;nbsp;&amp;nbsp; 9.52530&amp;nbsp;&amp;nbsp; 4.35523&lt;/P&gt;&lt;P&gt;5 1955&amp;nbsp;&amp;nbsp; 8.69951&amp;nbsp;&amp;nbsp; 3.50116&amp;nbsp; 5 1960&amp;nbsp;&amp;nbsp; 9.01457&amp;nbsp;&amp;nbsp; 3.68998&lt;/P&gt;&lt;P&gt;5 1965&amp;nbsp;&amp;nbsp; 9.04594&amp;nbsp;&amp;nbsp; 3.76410&amp;nbsp; 5 1970&amp;nbsp;&amp;nbsp; 9.21074&amp;nbsp;&amp;nbsp; 4.05573&lt;/P&gt;&lt;P&gt;6 1955&amp;nbsp;&amp;nbsp; 9.37552&amp;nbsp;&amp;nbsp; 4.29114&amp;nbsp; 6 1960&amp;nbsp;&amp;nbsp; 9.65188&amp;nbsp;&amp;nbsp; 4.59356&lt;/P&gt;&lt;P&gt;6 1965&amp;nbsp; 10.21163&amp;nbsp;&amp;nbsp; 4.93361&amp;nbsp; 6 1970&amp;nbsp; 10.34039&amp;nbsp;&amp;nbsp; 5.25520&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc sort data=greene;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; by firm year;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;proc panel data=greene ;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; model cost = production / rantwo vcomp = fb ;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; ods select VarianceComponents;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; id firm year;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 13 Jun 2014 15:33:39 GMT</pubDate>
    <dc:creator>ets_kps</dc:creator>
    <dc:date>2014-06-13T15:33:39Z</dc:date>
    <item>
      <title>Panel Data Variance Decomposition</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141488#M892</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-size: 12.727272033691406px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;I hope to use statistical procedure to partition a variable of a panel dataset into cross-sectional variation and time-series variation (within and between variation).&amp;nbsp; Suppose my data looks like:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-size: 12.727272033691406px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;Y&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; X&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; ID&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; DATE&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-size: 12.727272033691406px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;I hope to know how Y varies cross-sectionally according to ID holding DATE fixed.&amp;nbsp; I also hope to know how Y varies according to DATE time-series, holding ID fixed.&amp;nbsp; My description may not conform to statistical lingo, could you offer me some advice on how to do so?&amp;nbsp; Thank you –&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 12 Jun 2014 23:42:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141488#M892</guid>
      <dc:creator>caveman529</dc:creator>
      <dc:date>2014-06-12T23:42:43Z</dc:date>
    </item>
    <item>
      <title>Re: Panel Data Variance Decomposition</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141489#M893</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello, &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is how you request the variance decomposition from the procedure. It gives you the within and between variation for the VC model.&amp;nbsp; You can grab this example and run it in SAS.&amp;nbsp; Also, to get the full output from the procedure, simply delete the line "ods select VarianceComponents". I included it to keep your output as small as possible. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;data greene;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; input firm year production cost @@;&lt;/P&gt;&lt;P&gt;datalines;&lt;/P&gt;&lt;P&gt;1 1955&amp;nbsp;&amp;nbsp; 5.36598&amp;nbsp;&amp;nbsp; 1.14867&amp;nbsp; 1 1960&amp;nbsp;&amp;nbsp; 6.03787&amp;nbsp;&amp;nbsp; 1.45185&lt;/P&gt;&lt;P&gt;1 1965&amp;nbsp;&amp;nbsp; 6.37673&amp;nbsp;&amp;nbsp; 1.52257&amp;nbsp; 1 1970&amp;nbsp;&amp;nbsp; 6.93245&amp;nbsp;&amp;nbsp; 1.76627&lt;/P&gt;&lt;P&gt;2 1955&amp;nbsp;&amp;nbsp; 6.54535&amp;nbsp;&amp;nbsp; 1.35041&amp;nbsp; 2 1960&amp;nbsp;&amp;nbsp; 6.69827&amp;nbsp;&amp;nbsp; 1.71109&lt;/P&gt;&lt;P&gt;2 1965&amp;nbsp;&amp;nbsp; 7.40245&amp;nbsp;&amp;nbsp; 2.09519&amp;nbsp; 2 1970&amp;nbsp;&amp;nbsp; 7.82644&amp;nbsp;&amp;nbsp; 2.39480&lt;/P&gt;&lt;P&gt;3 1955&amp;nbsp;&amp;nbsp; 8.07153&amp;nbsp;&amp;nbsp; 2.94628&amp;nbsp; 3 1960&amp;nbsp;&amp;nbsp; 8.47679&amp;nbsp;&amp;nbsp; 3.25967&lt;/P&gt;&lt;P&gt;3 1965&amp;nbsp;&amp;nbsp; 8.66923&amp;nbsp;&amp;nbsp; 3.47952&amp;nbsp; 3 1970&amp;nbsp;&amp;nbsp; 9.13508&amp;nbsp;&amp;nbsp; 3.71795&lt;/P&gt;&lt;P&gt;4 1955&amp;nbsp;&amp;nbsp; 8.64259&amp;nbsp;&amp;nbsp; 3.56187&amp;nbsp; 4 1960&amp;nbsp;&amp;nbsp; 8.93748&amp;nbsp;&amp;nbsp; 3.93400&lt;/P&gt;&lt;P&gt;4 1965&amp;nbsp;&amp;nbsp; 9.23073&amp;nbsp;&amp;nbsp; 4.11161&amp;nbsp; 4 1970&amp;nbsp;&amp;nbsp; 9.52530&amp;nbsp;&amp;nbsp; 4.35523&lt;/P&gt;&lt;P&gt;5 1955&amp;nbsp;&amp;nbsp; 8.69951&amp;nbsp;&amp;nbsp; 3.50116&amp;nbsp; 5 1960&amp;nbsp;&amp;nbsp; 9.01457&amp;nbsp;&amp;nbsp; 3.68998&lt;/P&gt;&lt;P&gt;5 1965&amp;nbsp;&amp;nbsp; 9.04594&amp;nbsp;&amp;nbsp; 3.76410&amp;nbsp; 5 1970&amp;nbsp;&amp;nbsp; 9.21074&amp;nbsp;&amp;nbsp; 4.05573&lt;/P&gt;&lt;P&gt;6 1955&amp;nbsp;&amp;nbsp; 9.37552&amp;nbsp;&amp;nbsp; 4.29114&amp;nbsp; 6 1960&amp;nbsp;&amp;nbsp; 9.65188&amp;nbsp;&amp;nbsp; 4.59356&lt;/P&gt;&lt;P&gt;6 1965&amp;nbsp; 10.21163&amp;nbsp;&amp;nbsp; 4.93361&amp;nbsp; 6 1970&amp;nbsp; 10.34039&amp;nbsp;&amp;nbsp; 5.25520&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc sort data=greene;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; by firm year;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;proc panel data=greene ;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; model cost = production / rantwo vcomp = fb ;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; ods select VarianceComponents;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; id firm year;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 13 Jun 2014 15:33:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141489#M893</guid>
      <dc:creator>ets_kps</dc:creator>
      <dc:date>2014-06-13T15:33:39Z</dc:date>
    </item>
    <item>
      <title>Re: Panel Data Variance Decomposition</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141490#M894</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you, KPS!&amp;nbsp; I'll try it out and report back. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 16 Jun 2014 21:48:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Panel-Data-Variance-Decomposition/m-p/141490#M894</guid>
      <dc:creator>caveman529</dc:creator>
      <dc:date>2014-06-16T21:48:09Z</dc:date>
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