Beef

panel data
number of observations : 5 scenario for 47 individuals
observation : individuals
country : United States

datasets

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

Yves Croissant

mlogit

Multinomial Logit Models

Beef function

A dataframe containing :<dl class="dl-horizontal">
 <dt>id</dt><dd>individuals identifier</dd>
 <dt>product</dt><dd>one of <code>fresh</code>, <code>lean</code>, <code>dietLean</code>,
 <code>organic</code> and <code>noPurchase</code></dd>
 <dt>scenario</dt><dd>scenario identifier</dd>
 <dt>choice</dt><dd>one if the product is chosen, 0 otherwise</dd>
 <dt>price</dt><dd>the price of the product</dd>
 </dl>

Format

Choice of a beef product — Beef

A dataframe containing :<dl class='dl-horizontal'>
 <dt>id</dt><dd>individuals identifier</dd>
 <dt>product</dt><dd>one of <code>fresh</code>, <code>lean</code>, <code>dietLean</code>,
 <code>organic</code> and <code>noPurchase</code></dd>
 <dt>scenario</dt><dd>scenario identifier</dd>
 <dt>choice</dt><dd>one if the product is chosen, 0 otherwise</dd>
 <dt>price</dt><dd>the price of the product</dd>
 </dl>

Beef: Choice of a beef product

Description

Usage

Arguments

Format

References