Train

a cross-section from 1987
number of observations : 2929
observation : individuals
country : Netherland

datasets

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

Yves Croissant

mlogit

Multinomial Logit Models

Train function

A dataframe containing :<dl class="dl-horizontal">
 <dt>id</dt><dd>individual identifient</dd>
 <dt>choiceid</dt><dd>choice identifient</dd>
 <dt>choice</dt><dd>one of 'A' or 'B'</dd>
 <dt>price\_z</dt><dd>price of proposition z (z = 'A', 'B') in cents of guilders</dd>
 <dt>time\_z</dt><dd>travel time of proposition z (z = 'A', 'B') in minutes</dd>
 <dt>comfort\_z</dt><dd>comfort of proposition z (z = 'A', 'B'), 0, 1 or 2 in decreasing comfort order</dd>
 <dt>change\_z</dt><dd>number of changes for proposition z (z = 'A', 'B')</dd>
 </dl>

Format

Stated Preferences for Train Traveling — Train

A dataframe containing :<dl class='dl-horizontal'>
 <dt>id</dt><dd>individual identifient</dd>
 <dt>choiceid</dt><dd>choice identifient</dd>
 <dt>choice</dt><dd>one of 'A' or 'B'</dd>
 <dt>price\_z</dt><dd>price of proposition z (z = 'A', 'B') in cents of guilders</dd>
 <dt>time\_z</dt><dd>travel time of proposition z (z = 'A', 'B') in minutes</dd>
 <dt>comfort\_z</dt><dd>comfort of proposition z (z = 'A', 'B'), 0, 1 or 2 in decreasing comfort order</dd>
 <dt>change\_z</dt><dd>number of changes for proposition z (z = 'A', 'B')</dd>
 </dl>

Train: Stated Preferences for Train Traveling

Description

Usage

Arguments

Format

References