.- help for ^mclgen^ (STB-56: sbe37) .- Stata programs for multinomial conditional logit models ------------------------------------------------------- ^mclgen^ depvar The argument depvar is required. A categorical response factor with a maximum of 12 levels must be specified for use in the MCL model. Remarks ------- Note that the ^mclgen^ program will ^modify the data^, and that the data should therefore be ^saved^ before running it. An MCL model is estimated on a "person/choice" file. In the "person/choice" file, each respondent has a separate record for each category of the response variable. A stratifying variable indexes respondents and a dichotomous variable indicates which record corresponds with the repondent's actual choice. For a response factor with 5 levels, the dataset is therefore expanded to 5 times the number of cases. The response factor specified in mclgen indexes the response options for each respondent. ^mclgen^ also creates ^__strata^ and ^__didep^, the stratifying variable and dichotomous variable for use by @mclest@. When the model is estimated by @clogit@, the dichotomous variable becomes the dependent variable and the stratifying variable is specified in the ^strata()^ option. The main effects of the response factor correspond with the intercept of a multinomial logistic model. Interactions of the response factor with independent variables correspond with the effects of these independent variables. These effects can be created using @desmat@ (STB-52). If the response factor has a fixed reference category, the log likelihood, estimates and standard errors will be exactly the same as a model estimated with @mlogit@. However, this procedure followed here allows much more flexibility in imposing restrictions on the response factor. Author ------ John Hendrickx Nijmegen Business School, University of Nijmegen P.O. Box 9108 6500 HK Nijmegen The Netherlands J.Hendrickx@@mailbox.kun.nl