Hi Peer,
This should do it:
asclogit choice lifetime2 sigp sige, case(id) alt(edu) noconst
gen hold = lifetime2
replace lifetime2 = lifetime1
predict xb
replace lifetime2 = hold
Hope this helps.
Arne
PS It's better to address the whole list when you have a new question,
even when it's related to a previous one, as the whole collective of
Statalist users is much more likely to know the answer than one single
user.
2009/1/10 Peer Skov <[email protected]>:
> Hi Arne,
> I have encountered yet another challenge with the asclogit procedure.
> As explained previously I model education choice where the covariates
> are lifetime income and two types of income risk.
> I have two competing measures of lifetime income and in order to illustrate a point
> I would like to estimate the parameters using lifetime income measure 2
> but then obtain the predicted probabilities using lifetime income measure 1.
> That is, something along the lines of:
>
> asclogit choice lifetime2 sigp sige, case(id) alt(edu) noconst
> predict xb
> where x = [lifetime1]
>
> Do you have suggestions on how to do this?
> Best,
> Peer.
>
>
>
>
>
>
>
>
>> Date: Wed, 10 Dec 2008 12:43:23 +0000
>> From: [email protected]
>> To: [email protected]
>> Subject: Re: st: A logit approach that allows alternative specific variables
>>
>> Hi Peer,
>>
>> Some responses below:
>>
>>> I would like to specify the values at which the marginal effects are calculated.
>>> However when I use the at () option I specify the same life_earnings for all educational groups,
>>> is it possible to specify different levels for each group?
>>
>> I don't think so but I could be wrong. You'll probably have to
>> calculate the marginal effects manually if this is what you want,
>> Greene has the relevant formula for alternative-specific variables.
>>
>>> In addition, I was hoping to be able to produce a figure for each educational level depicting prob(edu=1) on the y-axis
>>> and income on the x-axis. That is, similar to Greene fig. 19.2 (Econometric Analysis, Fourth Edition).
>>> Do you know of any useful commands in that regard?
>>
>> I don't have my copy of Greene at hand but are you thinking about
>> something like:
>>
>> webuse choice
>> asclogit choice dealer, casevars(sex income) case(id) alternatives(car)
>> predict p if e(sample)
>> scatter p income if car == 1
>>
>> Arne
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>> * http://www.ats.ucla.edu/stat/stata/
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