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st: Apologies for request


From   Goodall S <S.Goodall@rhul.ac.uk>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   st: Apologies for request
Date   Tue, 15 Mar 2005 23:00:29 -0000

Unfortunately, although I have spent just about every waking minute for the
past week in front of a screen with Stata 8.2 imprinted on it I haven't been
able to grasp its capabilities very well. I have not found information on
the net or in the textbooks conclusive or straghtforward. Furthermore, I do
not have a copy of the Stata manual nor have time enough to wait for it to
arrive as my work is to finished very soon. I'm sorry to have bothered you
all for some simple advice, I did not realize it would cause such a problem

Scott

Nick Cox

Please don't send formatted text to Statalist
Please do use sensible titles. These points,
and other well-meant advice, are explained
in the Statalist FAQ, the URL of which is
at the bottom of every Statalist posting.

There is a Newey-West command in Stata: its
help is accessible at -whelp newey-
and there is more in the manuals at [TS] newey.

Most of your other questions seem to require
recourse to a standard text, at least in
the first instance.

Nick
n.j.cox@durham.ac.uk

Scott Goodall

I am attempting to develop a model for my dissertation.
I would like to develop a very simple model with house prices
as my left-hand side variable and rent, income, mortgage rent,
and CPI as my right hand-side variables. I have collected my data,
formatted my data (including putting several variables in real terms)
and found that I have the best model available to me (in terms of
ommited variables at least). I have come to the conclusion that my
model has no ommitted variables and is normal, but does suffer from
autocorrelation, heteroscedasticity, and multicollinearity. Is it true
that I can correct for autocorrelation and heteroscedasticity using a
Newey West test? If so, would you be so kind as to give me specific
details of how to perform this test and how to interpret its results?
Also, any other suggestions or help would be much appreciated.

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