You can also obtain choice specific constants by including ONE in the Rhs . You may also use these specifications in the nested logit model for simple, identical utility functions. This section will describe a method of specifying more general utility functions in the model. The utility functions need not be the same for the choices. Different attributes may enter, coefficients may be constrained in different ways, and attributes may be transformed to logs or by the Box-Cox transformation.
Parameters always come first, then variables.
Constant terms need not multiply variables. Notice that the utility function defines both the variables and the parameters. Usually, you would give an equation for each choice in the model. Note also that the alternative specific constant for Train is 0.0. Logs and the Box-Cox Transformation Variables may be specified in logarithms.