Thanks for your answer, John!
Having read in Wooldridge, Verbeek and Hausman himself, I tried to figure
out how this whole Hausman test works.
I tried to figure out, if endogeneity exists in my particular case. So I did
this
Y ~ X + Z + Rest + error term [# this is the the original regression wi
On 29 October 2012 16:56, fxen3k wrote:
snip
If we are talking about the same test a Hausman test can not be
applied to OLS regressions. As you have already been told you must
have two estimates of the same set of coefficients to do a Hausman
test.
Suppose that you do OLS and an IV estimates
Given my "acknowledged statistical ignorance", I tried to find a *solution
*in this forum...
And this is not primarily a statistical issue, it is an issue about the
Hausman test in the R environment.
I cannot imagine, no one in this forum has ever done a Hausman test on OLS
regressions.
I read in
r the idea, and 13 for the R implementation.
Best wishes,
Giovanni
-- original message
Date: Sun, 28 Oct 2012 16:03:43 -0700
From: Joshua Wiley
To: fxen3k
Cc: r-help@r-project.org
Subject: Re: [R] Hausman test in R
Message-ID:
Content-Type: text/plain
Hi,
I can think of no reason a Hausman test could not be used for OLS---it is a
comparison of vectors of coefficients from different models usually assumed
to produce similar estimates under certain conditions. Dissimilarity is
taken as indicative of a lack of some or all the conditions required
1. These are primarily statistics issues, not R issues. You should
post on a statistical help list like stats.stackexchange.com, not
here.
2. However, given your acknowledged statistical ignorance, you may be
asking for trouble. I suggest you seek help from a local statistical
expert to get you st
Hi there,
I am really new to statistics in R and statistics itself as well.
My situation: I ran a lot of OLS regressions with different independent
variables. (using the lm() function).
After having done that, I know there is endogeneity due to omitted
variables. (or perhaps due to any other reaso
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