RiskyTransport

1793 choices by 561 individuals of a transport mode at Freetwon
airport

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

RiskyTransport function

A dataframe containing:<ul>
<li>id: individual id,</li>
<li>choice: 1 for the chosen mode,</li>
<li>mode: one of <code>Helicopter</code>,<code>WaterTaxi</code>, <code>Ferry, and </code>Hovercraft`,</li>
<li>cost: the generalised cost of the transport mode,</li>
<li>risk: the fatality rate, numbers of death per 100,000 trips,</li>
<li>weight: weights,</li>
<li>seats: ,</li>
<li>noise: ,</li>
<li>crowdness: ,</li>
<li>convloc: ,</li>
<li>clientele: ,</li>
<li>chid: choice situation id,</li>
<li>african: <code>yes</code> if born in Africa, <code>no</code> otherwise,</li>
<li>lifeExp: declared life expectancy,</li>
<li>dwage: declared hourly wage,</li>
<li>iwage: imputed hourly wage,</li>
<li>educ: level of education, one of <code>low</code> and <code>high</code>,</li>
<li>fatalism: self-ranking of the degree of fatalism,</li>
<li>gender: gender, one of <code>female</code> and <code>male</code>,</li>
<li>age: age,</li>
<li>haveChildren: <code>yes</code> if the traveler has children,
<code>no</code> otherwise,</li>
<li>swim: <code>yes</code> if the traveler knows how to swim, `no,
otherwise.</li>
</ul>

RiskyTransport: Risky Transportation Choices

Description

Arguments

Format

References