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Re: st: mlogtest after mlogit
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: mlogtest after mlogit
Date
Tue, 25 Oct 2011 11:57:49 +0100
If you look at the code of -mlogtest- the warning message that worries
you is when a helper program -_pecats- produces output that is
inconsistent. After your -mlogit- call you can run -_pecats- followed
by -return list-. In a well-behaved case, you will get output like
this in which r(numcats) matches the number of elements in r(catvals).
Your output will probably not match up. I don't know why that might
be, but I doubt that the category frequencies are somehow the issue.
(For "STATA" read "Stata".)
. _pecats
. return list
scalars:
r(numcats) = 9
r(refval) = 3
macros:
r(catnms8) : "1 2 4 5 6 7 8 9 3"
r(catvals) : "1 2 4 5 6 7 8 9 3"
r(catnms) : "1 2 4 5 6 7 8 9 3"
r(refnm) : "3"
On Tue, Oct 25, 2011 at 11:10 AM, Chiara Mussida <[email protected]> wrote:
> On 25 October 2011 01:10, Richard Williams
> <[email protected]> wrote:
>> At 05:59 AM 10/24/2011, Muhammad Anees wrote:
>>>
>>> have you tried -mlogtest, all- to verify if these categories have no
>>> other issues. Otherwise the test on -combine- might have resulted
>>> becaure some of the categories had small or no observations so
>>> checking the condition of equal coefficients from -comibe- did not
>>> work.
>>
>> I agree - I get nervous about using multiple-outcome commands like mlogit
>> with lots and lots of independent variables. You may be spreading the data
>> too thin. But, before taking this too much further, I'd like the original
>> poster to confirm that the most current version of mlogtest is indeed being
>> used. Otherwise we might be talking about a problem that was fixed 6 months
>> ago. Also, it might be good to present a frequency of the dependent
>> variable. Long and Freese's commands are sometimes pickier about coding than
>> Stata is, e.g. they sometimes don't like non-integer coding. Also, you would
>> see if some of the categories have very small frequency counts. Finally, I
>> would run a simple model with only one or two independent variables followed
>> by mlogtest. If the simple model works and the more complicated one doesn't,
>> that might indicate problems with one or more of the added variables or with
>> the data being spread too thin to do the test.
>>
>>
> Dear All, I confirm that my current version of mlogtest is and was the
> one indicated by Nick, precisely:
>
> . which mlogtest, all
>
> C:\Program Files\Stata12\ado\updates\m\mlogtest.ado
> *! version 1.7.6 jsl 2009-10-18
>
> in terms of model estimates, I guess that the issue is related to the
> relative frequency of my dependent variables categories':
>
> ta transition
>
> transition | Freq. Percent Cum.
> ------------+-----------------------------------
> 1 | 271 0.70 0.70
> 2 | 132 0.34 1.04
> 3 | 1,119 2.90 3.94
> 4 | 379 0.98 4.93
> 5 | 722 1.87 6.80
> 6 | 13,959 36.17 42.97
> 7 | 388 1.01 43.98
> 8 | 168 0.44 44.41
> 9 | 21,450 55.59 100.00
> ------------+-----------------------------------
> Total | 38,588 100.00
>
> e.g., categories 2 and 8 might be too small. Now, I cannot collapse my
> dep variable in a reduced number of categories and I hope that
> notwithstanding the STATA alert message after typing the test command
> (below I copied all the results) do not bias my results. ps: for the
> test N=25441 since the model estimates are referred to a subsample
> (aged 15-64) of the overall population (38588).
>
> mlogtest, c
>
> Problem determining number of categories.
>
> **** Wald tests for combining alternatives (N=25441)
>
> Ho: All coefficients except intercepts associated with a given pair
> of alternatives are 0 (i.e., alternatives can be combined).
>
> Alternatives tested| chi2 df P>chi2
> -------------------+------------------------
> 1- 2 | 18.576 5 0.002
> 1- 3 | 5.990 5 0.307
> 1- 4 | 13.565 5 0.019
> 1- 5 | 148.448 5 0.000
> 1- 6 | 178.434 5 0.000
> 1- 7 | 33.226 5 0.000
> 1- 8 | 68.938 5 0.000
> 1- 9 | 311.133 5 0.000
> 2- 3 | 19.911 5 0.001
> 2- 4 | 23.931 5 0.000
> 2- 5 | 68.619 5 0.000
> 2- 6 | 68.197 5 0.000
> 2- 7 | 24.027 5 0.000
> 2- 8 | 55.161 5 0.000
> 2- 9 | 127.081 5 0.000
> 3- 4 | 36.426 5 0.000
> 3- 5 | 438.391 5 0.000
> 3- 6 | 703.923 5 0.000
> 3- 7 | 59.553 5 0.000
> 3- 8 | 103.537 5 0.000
> 3- 9 | 1130.422 5 0.000
> 4- 5 | 197.002 5 0.000
> 4- 6 | 103.387 5 0.000
> 4- 7 | 91.631 5 0.000
> 4- 8 | 132.381 5 0.000
> 4- 9 | 530.943 5 0.000
> 5- 6 | 592.783 5 0.000
> 5- 7 | 192.566 5 0.000
> 5- 8 | 142.185 5 0.000
> 5- 9 | 281.162 5 0.000
> 6- 7 | 520.969 5 0.000
> 6- 8 | 430.911 5 0.000
> 6- 9 | 5946.722 5 0.000
> 7- 8 | 24.867 5 0.000
> 7- 9 | 231.357 5 0.000
> 8- 9 | 82.933 5 0.000
> --------------------------------------------
>
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