Fish

Fishing

A data.frame containing data on choices of recreational fishing mode. 
 Data may depend on both the individual and the alternative.
number of observations : 1182
country : United States

datasets

Time and memory efficient estimation of multinomial logit models using maximum likelihood method. Numerical optimization performed by Newton-Raphson method using an optimized, parallel C++ library to achieve fast computation of Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning.

Asad Hasan

mnlogit

Multinomial Logit Model

Fish function

A dataframe containing :<dl class="dl-horizontal">
 <dt>mode</dt><dd>- recreation mode choice, one of : beach, pier, boat and charter</dd>
 <dt>price</dt><dd>- price for a mode for an individual</dd>
 <dt>catch</dt><dd>- fish catch rate for a mode for an individual</dd>
 <dt>income</dt><dd>- monthly income of an individual</dd>
 <dt>chid</dt><dd>- chooser ID: serial number of the individual</dd>
 </dl>

Format

Choice of Fishing Mode — Fish

A dataframe containing :<dl class='dl-horizontal'>
 <dt>mode</dt><dd>- recreation mode choice, one of : beach, pier, boat and charter</dd>
 <dt>price</dt><dd>- price for a mode for an individual</dd>
 <dt>catch</dt><dd>- fish catch rate for a mode for an individual</dd>
 <dt>income</dt><dd>- monthly income of an individual</dd>
 <dt>chid</dt><dd>- chooser ID: serial number of the individual</dd>
 </dl>

Fish: Choice of Fishing Mode

Description

Usage

Arguments

Format

References