Date: Tue, 23 Oct 2007 16:45:01 -0400
Reply-To: Samuel Croker <samuel.croker@GMAIL.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Samuel Croker <samuel.croker@GMAIL.COM>
Subject: Re: Time Series for Mortgage Data
Content-Type: text/plain; charset=ISO-8859-1
I found that this book was very helpful for me making the transition
from switching from R to SAS
time series analysis and forecasting. I would recommend that you do
what Sigurd suggested before diving into the data. Forecasting things
that come even partly from human activities can be extremely difficult
and sometimes it seems that reading chicken entrails might be more
On 10/23/07, Sigurd Hermansen <HERMANS1@westat.com> wrote:
> For example, from simple to complex ....
> -----Original Message-----
> From: firstname.lastname@example.org [mailto:email@example.com]
> On Behalf Of surendar
> Sent: Tuesday, October 23, 2007 3:12 PM
> To: firstname.lastname@example.org
> Subject: Re: Time Series for Mortgage Data
> Thank you Sigurd,Mathew
> Mathew other than these procedures anything else I have to look in
> to.Like the assumption.
> Sigurd before I posted this question I searched for literature on
> Mortgage which was a wild search never found anything and I am still to
> do on prediction or forecating search.You talked about turning points
> can you tell me more on that.
> On Oct 23, 11:29 am, HERMA...@WESTAT.COM (Sigurd Hermansen) wrote:
> > Surendar:
> > Let me suggest that you first review the literature on forecasting of
> > market prices. In stock, real estate, and other highly competitive
> > markets, current prices tend to reflect expectations of future prices.
> > Forecasting models predict better in hindsight than in prospect.
> > The SAS/ETS licensed product has a wealth of documentation on-line.
> > Once you have a basic understanding of the theoretical issues (serial
> > correlation, stability, lagged error terms, etc.), introductory
> > sections will help you understand which procedures would be
> > appropriate.
> > As many homeowners in the USA will attest today, forecasts based
> > solely on historical observations can be dangerously misleading. Watch
> > for those turning points. Only the best forecasting models have a
> > chance of forecasting turning points. S
> > -----Original Message-----
> > From: owner-sa...@listserv.uga.edu
> > [mailto:owner-sa...@listserv.uga.edu]
> > On Behalf Of surendar
> > Sent: Tuesday, October 23, 2007 1:43 PM
> > To: sa...@uga.edu
> > Subject: Time Series for Mortgage Data
> > hello,
> > My dependent variable in Sale Value of Home and my IV variable would
> > be both continuous and categorical.
> > I cannot use general regression or GLM or mixed since the data is
> > collected with respect to time.
> > The data is collected since 1974.I want to predict the value of home
> > for the 2008 say.
> > Can someone suggest a book.Example with SAS and SPSS
> > Thanks- Hide quoted text -
> > - Show quoted text -
Samuel T. Croker
Lexington, SC & Bethesda, MD