Catsup

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

Catsup function

A dataframe containing :<ul>
<li>id: individuals identifiers,</li>
<li>choice: one of heinz41, heinz32, heinz28, hunts32,</li>
<li>disp.z: is there a display for brand z ?</li>
<li>feat.z: is there a newspaper feature advertisement for brand z?</li>
<li>price.z: price of brand z.</li>
</ul>

Catsup: Choice of Brand for Catsup

Description

Arguments

Format

References