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Re: st: "cmp" command and rho LR test statistic for SUR bivariate probit model
From
Maarten buis <[email protected]>
To
[email protected]
Subject
Re: st: "cmp" command and rho LR test statistic for SUR bivariate probit model
Date
Fri, 4 Mar 2011 09:41:05 +0000 (GMT)
--- On Thu, 3/3/11, David Quinn wrote:
> 1.) The first question is in regards to the command:
> -constraint 1 [atanhrho_12]_cons = `=atanh(0)'-. When you
> run -cmp-, it reports the value of atanhrho_12 as
>-.0886333 (and this is the Fisher's z transformed
> correlation), and the value of rho_12 as -.088402. So,
> what you are doing with the -constraint- command is telling
> to STATA to set atanhrho_12 to a specific value when running
> the model? If so, does the value "0" that is in parentheses
> in your example represent the value of rho_12 (i.e.,
> -.088402)? Am I understanding that correctly?
You asked for a likelihood ratio test. This means you need to
estimate two models, one constrained and one unconstrained,
and than you compare the likelihoods of these two models. The
first model I estimated is the unconstrained model, i.e. I let
Stata determine whatever value of rho (well, strictly speaking
Fisher's z transformed rho) it liked. The second model I
constrained rho to be 0, and to make sure that Stata
understood me I needed to translate that to Fisher's z scores.
I did this by saying `=atanh(0)', the 0 is the rho, and
whatever `=atanh(0)' evaluates to is the Fisher's z
transformation of 0 (actualy atanh(0)=0, I just did this for
completeness).
> 2.) The second question is in regards to the command: -est
> store a- and -est store b-. What exactly are these doing?
Remember a likelihood ratio test compares two models. In
order to do so, Stata needs to store them somehow. This is
what -est store- does.
> 3.) To answer the third question, perhaps I first need to
> understand what is going on with the second question. But
> regardless, I'm not clear exactly what the likelihood-ratio
> test at the end is testing. What are you comparing with
> "a" and "b"?
It compares model a with model b, so the null hypothesis is
whatever restriction you imposed in model b. In our case that
restriction is that is atanhrho_12 = `=atanh(0)', which is
just a complicated way of saying rho = 0.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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