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Re: st: Trouble with mixlogit (error) with binary dependent variable
From
Arne Risa Hole <[email protected]>
To
[email protected]
Subject
Re: st: Trouble with mixlogit (error) with binary dependent variable
Date
Tue, 5 Feb 2013 10:47:31 +0000
No. It should be a unique identifier for every occasion where a firm
had the choice between innovating or not. Look carefully at the
structure of the example datasets in the paper.
Arne
On 5 February 2013 01:50, SAM MCCAW <[email protected]> wrote:
> Thanks much. So if I have one variable, innovation, with a possible
> value of (0,1) then my group variable should just be group = 1?
>
> Thanks so much.
>
> SAM
>
> On Wed, Jan 30, 2013 at 6:36 AM, Arne Risa Hole <[email protected]> wrote:
>> Sam
>>
>> -mixlogit- is a user-written command available from SJ/SSC.
>>
>> You've defined the group variable incorrectly - this should be an
>> identifier of the choice sets, not the alternatives within a choice
>> set. See the examples in
>> http://www.stata-journal.com/article.html?article=st0133.
>>
>> There might be other problems with the way you've set up the data too
>> but this is hard to know without seeing a snippet of the data. Have
>> you tried running the model using -clogit- first? If this doesn't work
>> you can be 100% sure that -mixlogit- won't either.
>>
>> Arne (author of -mixlogit-)
>>
>> On 30 January 2013 00:55, SAM MCCAW <[email protected]> wrote:
>>> Dear STATA gurus,
>>>
>>> I am having trouble running a mixed logit model. Please help!
>>>
>>> - The dependent variable is binary (0,1) (innovation).
>>>
>>> - My independent variables (var1 var2 var3) are continuous variables
>>> (they are logs of a count, excluding 0).
>>>
>>> -The group variable just takes a value of 1 or 2, because I only have
>>> two choice occasions, using: egen group = group(innov_1)
>>>
>>> - Code: mixlogit innov, group(group) rand(var1 var2 var3) id(id) or
>>>
>>> mixlogit innov var4, group(group) rand(var1 var2 var3 var5) id(id)
>>>
>>> I am getting the following errors:
>>>
>>> [P] error . . . . . . . . . . . . . . . . . . . . . . . . Return code 2000
>>> no observations;
>>> You have requested some statistical calculation and there are
>>> no observations on which to perform it. Perhaps you specified
>>> if exp or in range and inadvertently filtered all the data.
>>>
>>> (end of search)
>>>
>>> I have over 30,000 for all the variables specified in the simplest
>>> model I ran and I still get the same error.
>>>
>>> Here are the sumamry statistics for my variables:
>>>
>>> Variable | Obs Mean Std. Dev. Min Max
>>> -------------+--------------------------------------------------------
>>> innov_1 | 32523 .4774467 .4994988 0 1
>>> var1 | 33065 2.104231 1.589854 0 4.859812
>>> var2 | 33065 1.669999 1.0031 0 4.060443
>>> var3 | 33065 .6736071 .9022467 0 3.78419
>>> var4 | 33065 2.141496 2.795201 0 9.953027
>>> -------------+--------------------------------------------------------
>>> var5 | 28893 1.506202 .9606917 0 3.295837
>>> var6 | 5953 -2.335463 1.106637 -4.60517 1.96611
>>>
>>> I am completely lost about what to do next.
>>>
>>> Thanks for your help.
>>>
>>> SAM
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