Cracker

a sample of 3292 individualscross-section

datasets

Maximum likelihood estimation of random utility discrete
choice models. The software is described in Croissant (2020)
<doi:10.18637/jss.v095.i11> and the underlying methods in
Train (2009) <doi:10.1017/CBO9780511805271>.

Yves Croissant

mlogit

Multinomial Logit Models

Cracker function

A dataframe containing :
- id: individuals identifiers,
- choice: one of sunshine, keebler, nabisco, private,
- disp.z: is there a display for brand z?
- feat.z: is there a newspaper feature advertisement for brand z?
- price.z: price of brand z.

Cracker: Choice of Brand for Crakers

Description

Arguments

Format

References