mobility1

The data were collected by the TEPP team (FR CNRS 2042) between October 2008
and March 2009. A candidate is defined by the variables ("gender","licenses").<ul>
<li>offer: add number.</li>
<li>date: date of the application.</li>
<li>sentorder: order in which the application was sent.</li>
<li>callback: TRUE if there was a non negative callback.</li>
<li>ansorder: order in which the answer was received when positive, 5
 otherwise.</li>
<li>fname: first name (forename).</li>
<li>lname: last name (family name, surname).</li>
<li>gender: Woman or Man.</li>
<li>licenses: both moto and car licenses, Yes or No.</li>
<li>cont: length of labour contract, STC = short term contract (&lt;=1 year),
 LTC = long term contract (&gt;1 year with no ending date).</li>
<li>paris: job located inside Paris, Yes or No.</li>
<li>cv: CV template, A or B.</li>
</ul>

datasets

In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various answering rates and their exacts confidence intervals are computed. Last, exact and asymptotic discrimination tests are performed. Graphical methods are also available.

Emmanuel Duguet

callback

Computes Statistics from Discrimination Experimental Data

David Gray

Loïc du Parquet

Yannick L'Horty

Rémi Le Gall

Noam Léandri

Pascale Petit

Florent Sari

mobility1 function

A data frame with 1200 rows and 12 variables

Format

Gender discrimination and mobility
(management controller) — mobility1

Gender discrimination and mobility
(management controller)

mobility1: Gender discrimination and mobility (management controller)

Description

Usage

Arguments

Format

References