Ketchup

a cross-section
number of observations : 4956
observation : individuals
country : United States

datasets

Maximum Likelihood estimation of random utility discrete choice models (logit and probit).

Yves Croissant

mlogit

Multinomial Logit Models

Ketchup function

A dataframe containing :<dl class="dl-horizontal">
 <dt>hid</dt><dd>individuals identifiers</dd>
 <dt>id</dt><dd>purchase identifiers</dd>
 <dt>choice</dt><dd>one of heinz, hunts, delmonte, stb (store brand)</dd>
 <dt>price.z</dt><dd>price of brand z</dd>
 </dl>

Format

Choice of Brand for Ketchup — Ketchup

A dataframe containing :<dl class='dl-horizontal'>
 <dt>hid</dt><dd>individuals identifiers</dd>
 <dt>id</dt><dd>purchase identifiers</dd>
 <dt>choice</dt><dd>one of heinz, hunts, delmonte, stb (store brand)</dd>
 <dt>price.z</dt><dd>price of brand z</dd>
 </dl>

Ketchup: Choice of Brand for Ketchup

Description

Usage

Arguments

Format

References