Fairness: Perveived Fairness of Rules for Allocating Seats in Trains...

FairnessR Documentation

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

Description

observations of 401 individuals

number of observations : 5614

country : France

economic topic : public economics

econometrics topic : ordered response

Usage

data(Fairness)

Format

A dataframe containing :

id

the individual index

answer

a factor with levels 0 (very unfair), 1 (essentially unfair), 2 (essentially fair) and 3 (very fair)

good

one of 'tgv' (French fast train) and 'Parking'

rule

the allocation rule, a factor with levels 'peak', 'admin', 'lottery', 'addsupply', 'queuing', 'moral' and 'compensation'

driving

does the individual has the driving license ?

education

does the individual has a diploma ?

recurring

does the allocation problem is reccuring ?

Source

provided by the authors.

References

Charles Raux, Stephanie Souche and Yves Croissant (2009) “How fair is pricing perceived to be? An empirical study”, Public Choice, 139(1), 227-240.


pglm documentation built on Feb. 9, 2026, 9:06 a.m.

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