<?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 reg or autoreg or arima in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45965#M213</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Ok, my scenario is like this.&amp;nbsp; I have prices of certain (5 types) cars that go as back as 15 years by month, and by zipcodes (30 of them).&amp;nbsp; I also have some other variables such as household income and unemployment %, which I want to attempt to use in forecasting the changes in auto prices in the next 12 months.&amp;nbsp; Arima woks, I know, but I'd have to do a model for each auto type (5) per each zipcode (30) = 150 models.&amp;nbsp; Can I use Regression and just get one model and have the same variables in the model and would it work?.. how about AUTOREG, since I don't know much about it?&amp;nbsp; thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 11 Nov 2011 04:53:34 GMT</pubDate>
    <dc:creator>podarum</dc:creator>
    <dc:date>2011-11-11T04:53:34Z</dc:date>
    <item>
      <title>reg or autoreg or arima</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45965#M213</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Ok, my scenario is like this.&amp;nbsp; I have prices of certain (5 types) cars that go as back as 15 years by month, and by zipcodes (30 of them).&amp;nbsp; I also have some other variables such as household income and unemployment %, which I want to attempt to use in forecasting the changes in auto prices in the next 12 months.&amp;nbsp; Arima woks, I know, but I'd have to do a model for each auto type (5) per each zipcode (30) = 150 models.&amp;nbsp; Can I use Regression and just get one model and have the same variables in the model and would it work?.. how about AUTOREG, since I don't know much about it?&amp;nbsp; thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 11 Nov 2011 04:53:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45965#M213</guid>
      <dc:creator>podarum</dc:creator>
      <dc:date>2011-11-11T04:53:34Z</dc:date>
    </item>
    <item>
      <title>reg or autoreg or arima</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45966#M214</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Hi,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I believe what you are looking for is The arimax method (which is the same as arima but with independent variables).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I would recommend inquiring each series separately so you can look at the structure of each series (unless you are looking for the average price of all car models.).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;BTW: why not using the difference between each time period ? (T2/T1-1)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I SUGGEST YOU GOOGLE ABOUT ARIMAX.&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;about AUTOREG - it is a simplier form of arima (AUTOREGRESSION-INTEGRATED-MOVING_AVERAGE)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;hope this helps.&lt;/P&gt;&lt;P&gt;keep posting&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 15 Nov 2011 12:45:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45966#M214</guid>
      <dc:creator>dekelas</dc:creator>
      <dc:date>2011-11-15T12:45:59Z</dc:date>
    </item>
    <item>
      <title>reg or autoreg or arima</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45967#M215</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Thank you dekelas, very helpful info.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When you say&amp;nbsp; difference between each time period, do you mean as the dependent variable?, and for both ARIMA and AUTOREG ?&lt;/P&gt;&lt;P&gt;Also, do you think just a Multiple Regression model would work fine with this data, and just use time as an independent variable..??&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 15 Nov 2011 13:29:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45967#M215</guid>
      <dc:creator>podarum</dc:creator>
      <dc:date>2011-11-15T13:29:53Z</dc:date>
    </item>
    <item>
      <title>reg or autoreg or arima</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45968#M216</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Hi,&lt;/P&gt;&lt;P&gt;I'm getting the feeling you don't fully understand the meaning of Time-Series analysis.&lt;/P&gt;&lt;P&gt;here is a nice start :&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.abs.gov.au/websitedbs/d3310114.nsf/4a256353001af3ed4b2562bb00121564/b81ecff00cd36415ca256ce10017de2f!OpenDocument"&gt;http://www.abs.gov.au/websitedbs/d3310114.nsf/4a256353001af3ed4b2562bb00121564/b81ecff00cd36415ca256ce10017de2f!OpenDocument&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;and a nice article about arima models:&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.duke.edu/~rnau/411arim.htm"&gt;http://www.duke.edu/~rnau/411arim.htm&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;now to answer your question: I do mean the dependent variable (which is aso the independent variable in AR models). and you can use it for both autoreg and arima.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;take care&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 16 Nov 2011 11:04:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/reg-or-autoreg-or-arima/m-p/45968#M216</guid>
      <dc:creator>dekelas</dc:creator>
      <dc:date>2011-11-16T11:04:19Z</dc:date>
    </item>
  </channel>
</rss>

