Tuna

a cross-section
number of observations : 13705
observation : individuals
country : United States

datasets

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

Yves Croissant

mlogit

Multinomial Logit Models

Tuna 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 skw (Starkist water), cosw (Chicken of the sea water), pw (store--specific private label water), sko (Starkist oil), coso (Chicken of the sea oil)</dd>
 <dt>price.z</dt><dd>price of brand z</dd>
 </dl>

Format

Choice of Brand for Tuna — Tuna

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 skw (Starkist water), cosw (Chicken of the sea water), pw (store--specific private label water), sko (Starkist oil), coso (Chicken of the sea oil)</dd>
 <dt>price.z</dt><dd>price of brand z</dd>
 </dl>

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Tuna: Choice of Brand for Tuna

Description

Usage

Arguments

Format

References