[Limdep Nlogit List] Need Multinomial outcome/Probit selection model

[james benson]

Hi,

For my dissertation, I am preparing to evaluate the effects of several 
state policies on the likelihood of success for community college 
students.  Success will be operationalized as a set of 
mutually-exclusive outcomes: degree completion; transfer; persistence 
with no degree; and dropping out (failure; the excluded category).  I 
need to compute a multinomial logistic regression model, while taking 
into account selection into the sample.  The selection model will have a 
binary outcome (whether or not a student chose to attend a community 
college), and thus can be either a logistic regression or probit model. 

Does LIMDEP have a procedure by which I can estimate these two models, 
either simultaneously or through a two-stage procedure?  It would be 
especially helpful if I can do at least some of the following: make the 
computations using maximum-likelihood estimation; use design weights; 
account for clustering at the state level; and output the inverse Mills 
ratio from the selection model, for use in subsequent HLM analyses. 

Any specific answers, general insights, or reading suggestions will be 
appreciated.

James

James Benson
Research Assistant/ITP Fellow
UW-Madison
1025 West Johnson St #652
Madison, WI 53706