[Limdep Nlogit List] Help with clogit model

scolombo at ugr.es scolombo at ugr.es
Wed Apr 28 22:37:12 EST 2010


Dear Manit,

In my understanding you haver a generic choice set. So, to run a
conditional logit model (if this is what you are interested in) and you
have choice sets with 4 GENERIC alternatives, you can simply call the
alternatives A,B,C,D.

Sergio.

> Dear All,
>
> I am very new in this area. I really hope someone could help me with the
> command or concept about the choice model that I am facing right now.
>
>
> Suppose I would like to estimate customer preferences and the relative
> importance of service factors of IPTV such as price per month (range of
> price), video on demand feature (high or low), setup cost (high or low),
> enhanced service (yes or no),and other 2 factors.  Then I created say 16
> profiles of combinations of those factors (conjoint questions)  for
> respondents to answer.  I understood that if I asked respondents to rank
> all
> those 16 profiles (combinations) then I can use SPSS to run the conjoint
> analysis and then I can calculate the importance of each factor.
>
> My question here is what if I break down those 16 profiles into 4 choices
> sets with each set contains 4 profiles (combinations) and then ask
> respondents to choose the best choice (alternative) among each choice set.
>  In this case, I don't think I can use clogit command to do so.  Because
> clogit command asks me to provide the choice list (specific names of each
> choice) but in this case I don't have a specific name for each combination
> of choice set.
>
> clogit   ;lhs = choice
>             ;Rhs = price, video, setup_cost, enhance_service
>            ;Choices = ????
> $
>
> Here I don't know what to use as the parameters for Choices since all
> those
> 16 combinations are different, unlike the transportation mode (air, bus,
> car, train) given in Professor Greene's book.  Is there any way for me to
> use LIMDEP or other software to run this data given the data that i have
> (choice data instead of ranking data).   Thank you very much.  I am really
> appreciated your time for reading this mail.
>
>
> Best regards,
> Manit Satitsamitpong
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>




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