help multin
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Title

    multin -- Grouped conditional logit regression

Syntax

        multin depvar [indepvars] [if] [in] , group(varname) [options]

Description

    multin fits the grouped conditional logit regression model. It obtains
    the same results as conditional logit regression but it requires a
    smaller data set. The data is prepared as for conditional logit
    regression but each block of independent variables is unique and the
    dependent variable is a count with the number of times each choice is
    selected. An example of a dataset prepared for estimation with multin is:

x1  x2  gid cid y
0   4   1   1   0
1   4   1   2   1
1   6   1   3   1
2   2   2   1   2
1   4   2   2   0
3   5   2   3   0
2   6   4   1   0
3   7   4   2   1
2   5   4   3   0
1   5   4   4   0

The variable gid is a unique group identifier and the dependent variable y show
> s the number of times that
each choice was selected. If your data is in the format required by clogit you 
> can convert it to the above format
using groupdata. 

Options

    addcon Evaluates the likelihood with all constant factors added to the
        likelihood.  The results are the same but the reported likelihood is
        different.

    pearson reports the Pearson chi-squared statistic.

Examples

    . multin y x1 x2, gr(id)

Author

Paulo Guimaraes, Division of Research, University of South Carolina.
Email: guimaraes@moore.sc.edu 

Also See