<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic PROC UCM estimates in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104287#M544</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am running a UCM model logsales=logbaseprice dummy1 dummy2 promo1 promo2&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;(promo1 promo2 as dummies also)&amp;nbsp; as well as requesting the unobserved components.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My problem is the following : my level seems to be getting the most of the contribution for the prediction while my promo variables are not contributing as i had expected even in the weeks that the indication of promotion is obvious.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Am i doing something wrong when it comes to the estimates that i get from the run? should i convert them in someway to get the contribution? i am a bit sceptical since using logs but i revert back the logs as should, is there something similar&amp;nbsp; that needs to be done for the promo and dummy coeffs?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 10 Apr 2013 14:45:56 GMT</pubDate>
    <dc:creator>chemicalab</dc:creator>
    <dc:date>2013-04-10T14:45:56Z</dc:date>
    <item>
      <title>PROC UCM estimates</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104287#M544</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am running a UCM model logsales=logbaseprice dummy1 dummy2 promo1 promo2&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;(promo1 promo2 as dummies also)&amp;nbsp; as well as requesting the unobserved components.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My problem is the following : my level seems to be getting the most of the contribution for the prediction while my promo variables are not contributing as i had expected even in the weeks that the indication of promotion is obvious.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Am i doing something wrong when it comes to the estimates that i get from the run? should i convert them in someway to get the contribution? i am a bit sceptical since using logs but i revert back the logs as should, is there something similar&amp;nbsp; that needs to be done for the promo and dummy coeffs?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 10 Apr 2013 14:45:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104287#M544</guid>
      <dc:creator>chemicalab</dc:creator>
      <dc:date>2013-04-10T14:45:56Z</dc:date>
    </item>
    <item>
      <title>Re: PROC UCM estimates</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104288#M545</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello -&lt;/P&gt;&lt;P&gt;Would it be possible to share your code and some example data?&lt;/P&gt;&lt;P&gt;As a wild guess:&lt;/P&gt;&lt;P&gt;If you are using a local linear model, you could try to set the LEVEL variance to 0, but leave the SLOPE variance to be determined by the procedure.&lt;/P&gt;&lt;P&gt;This will result in a smoother trend estimation, which might be helpful.&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Udo&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Apr 2013 20:27:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104288#M545</guid>
      <dc:creator>udo_sas</dc:creator>
      <dc:date>2013-04-11T20:27:29Z</dc:date>
    </item>
    <item>
      <title>Re: PROC UCM estimates</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104289#M546</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;In addition to Udo's reponse I would also ask what your particular objective is?&amp;nbsp; If it is prediction, then perhaps not finding a huge response is acceptable.&amp;nbsp; If, on the other hand, your objective is to find the marginal effect of the program then you might either re-examine the tool (PROC AUTOREG) or the functional form (lags: the effect might not be contemporaneous).&amp;nbsp; My two cents.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Apr 2013 20:55:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/PROC-UCM-estimates/m-p/104289#M546</guid>
      <dc:creator>ets_kps</dc:creator>
      <dc:date>2013-04-11T20:55:45Z</dc:date>
    </item>
  </channel>
</rss>

