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    <title>topic Re: Generalized Impulse Response Functions with Proc VARMAZ in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300478#M1939</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The PRINT=(IMPULSX=(ALL)) option in PROC VARMAX produces the simple and accumulated impulse response function of the transfer function as described in Chapter 10 of Lutkepohl(2006).&amp;nbsp; This is different than the generalized IRFs as described in Pesaran and Shin (1998), however, the IMPULSX=&amp;nbsp;option&amp;nbsp;does allow you to assess the&amp;nbsp;long-run responses of&amp;nbsp;Y&amp;nbsp;to an impulse in X.&amp;nbsp; Please see the&amp;nbsp;documentation link below for more details and an example:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/etsug_varmax_details05.htm#etsug_varmax009069" target="_self"&gt;http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/etsug_varmax_details05.htm#etsug_varmax009069&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope this helps!&lt;/P&gt;
&lt;P&gt;DW&lt;/P&gt;</description>
    <pubDate>Fri, 23 Sep 2016 19:29:59 GMT</pubDate>
    <dc:creator>dw_sas</dc:creator>
    <dc:date>2016-09-23T19:29:59Z</dc:date>
    <item>
      <title>Generalized Impulse Response Functions with Proc VARMAZ</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/299351#M1932</link>
      <description>&lt;P&gt;Hi, I am trying to generate a generalized impulse response functions for some macroeconomics data. I would like to assess the response of y as a result of x caused by some exogenous features. I was wondering if the program below appears correct. Thas was taken from SAS examples:&lt;/P&gt;&lt;PRE class="programlisting"&gt;proc varmax data=grunfeld plot=impulse;
   model y1-y3 = x1 x2 / p=1 lagmax=5
                         printform=univariate
                         print=(impulsx=(all) estimates);
run;&amp;nbsp;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 19 Sep 2016 18:12:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/299351#M1932</guid>
      <dc:creator>mmansaray</dc:creator>
      <dc:date>2016-09-19T18:12:42Z</dc:date>
    </item>
    <item>
      <title>Re: Generalized Impulse Response Functions with Proc VARMAZ</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300478#M1939</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The PRINT=(IMPULSX=(ALL)) option in PROC VARMAX produces the simple and accumulated impulse response function of the transfer function as described in Chapter 10 of Lutkepohl(2006).&amp;nbsp; This is different than the generalized IRFs as described in Pesaran and Shin (1998), however, the IMPULSX=&amp;nbsp;option&amp;nbsp;does allow you to assess the&amp;nbsp;long-run responses of&amp;nbsp;Y&amp;nbsp;to an impulse in X.&amp;nbsp; Please see the&amp;nbsp;documentation link below for more details and an example:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/etsug_varmax_details05.htm#etsug_varmax009069" target="_self"&gt;http://support.sas.com/documentation/cdl/en/etsug/68148/HTML/default/etsug_varmax_details05.htm#etsug_varmax009069&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope this helps!&lt;/P&gt;
&lt;P&gt;DW&lt;/P&gt;</description>
      <pubDate>Fri, 23 Sep 2016 19:29:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300478#M1939</guid>
      <dc:creator>dw_sas</dc:creator>
      <dc:date>2016-09-23T19:29:59Z</dc:date>
    </item>
    <item>
      <title>Re: Generalized Impulse Response Functions with Proc VARMAZ</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300483#M1941</link>
      <description>&lt;P&gt;ndeed, I was referring to the methodology proposed by Pesaran and Shin (1998). Well in the absence of this methodology, which you rightly explained, do you think&amp;nbsp;this alternative would work?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE class="xis-codeBlock"&gt;proc varmax data=grunfeld plot=impulse;
   model y1-y3 = x1 x2 / p=1 lagmax=5
                         printform=univariate
                         print=(impulsx=(all) estimates);&lt;/PRE&gt;&lt;P&gt;I&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 23 Sep 2016 19:54:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300483#M1941</guid>
      <dc:creator>mmansaray</dc:creator>
      <dc:date>2016-09-23T19:54:16Z</dc:date>
    </item>
    <item>
      <title>Re: Generalized Impulse Response Functions with Proc VARMAZ</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300606#M1942</link>
      <description>&lt;P&gt;Thank you. That would help.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Mahmud&lt;/P&gt;</description>
      <pubDate>Sun, 25 Sep 2016 12:12:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Generalized-Impulse-Response-Functions-with-Proc-VARMAZ/m-p/300606#M1942</guid>
      <dc:creator>mmansaray</dc:creator>
      <dc:date>2016-09-25T12:12:33Z</dc:date>
    </item>
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