Fairness

observations of 401 individuals
number of observations : 5614
country : Franceeconomic topic : public economicseconometrics topic : ordered response

datasets

Estimation of panel models for glm-like models:
this includes binomial models (logit and probit), count models (poisson and negbin)
and ordered models (logit and probit), as described in:
Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7,
Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and
Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.

Yves Croissant

pglm

Panel Generalized Linear Models

Fairness function

A dataframe containing :<dl class="dl-horizontal">
 <dt>id</dt><dd>the individual index</dd>
 <dt>answer</dt><dd>a factor with levels 0 (very unfair), 1 (essentially unfair), 2 (essentially fair) and 3 (very fair)</dd>
 <dt>good</dt><dd>one of <code>'tgv'</code> (French fast train) and <code>'Parking'</code></dd>
 <dt>rule</dt><dd>the allocation rule, a factor with levels <code>'peak'</code>, <code>'admin'</code>, <code>'lottery'</code>, <code>'addsupply'</code>, <code>'queuing'</code>, <code>'moral'</code> and <code>'compensation'</code></dd>
 <dt>driving</dt><dd>does the individual has the driving license ?</dd>
 <dt>education</dt><dd>does the individual has a diploma ?</dd>
 <dt>recurring</dt><dd>does the allocation problem is reccuring ?</dd>
 </dl>

Format

Perveived Fairness of Rules for Allocating Seats in Trains and Parking Spaces — Fairness

A dataframe containing :<dl class='dl-horizontal'>
 <dt>id</dt><dd>the individual index</dd>
 <dt>answer</dt><dd>a factor with levels 0 (very unfair), 1 (essentially unfair), 2 (essentially fair) and 3 (very fair)</dd>
 <dt>good</dt><dd>one of <code>'tgv'</code> (French fast train) and <code>'Parking'</code></dd>
 <dt>rule</dt><dd>the allocation rule, a factor with levels <code>'peak'</code>, <code>'admin'</code>, <code>'lottery'</code>, <code>'addsupply'</code>, <code>'queuing'</code>, <code>'moral'</code> and <code>'compensation'</code></dd>
 <dt>driving</dt><dd>does the individual has the driving license ?</dd>
 <dt>education</dt><dd>does the individual has a diploma ?</dd>
 <dt>recurring</dt><dd>does the allocation problem is reccuring ?</dd>
 </dl>

Fairness: Perveived Fairness of Rules for Allocating Seats in Trains and Parking Spaces

Description

Usage

Arguments

Format

References