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