exdata {OSDR}

Executive dataset (subset of)

Description

Contains executives data for an italian firm operating in the energy sector (year 2015). The complete dataset contains 302 rows (10 firms) and 180 columns (it will be released in next package version).

Usage

data("exdata")

Format

A data frame with 28 observations on the following 8 variables.

firm

a character vector

position

a numeric vector

education

a numeric vector

year_born

a numeric vector

contract

a numeric vector

part_fulltime

a numeric vector

seniority

a numeric vector

sex

a numeric vector

Details

position

is coded: 4 = top manager, 3 = medium/first line manager, 2 = supervisor

sex

is coded: 0 = M, 1 = F

education

is coded: Post-graduate = 5, Graduate = 4, High school = 3

contract type

is coded: fixed term = 4; permanent = 3

seniority

is measured by number of years in the current position

Examples

# load executive data
data(exdata)

# case study: matched samples for comparing women and men executives

table(exdata$sex)
table(exdata$position,exdata$sex)
# There are more women and more in apical position. 

# A complete matching is not possible for several choices of the caliper.
# Gap differences tend to be higher for higher ranks

# e.g. Lynn and Thompson(1997), Above the glass ceiling? A comparison of
# matched Samples of Men and Women Executives. J. of Appl. Psych. 82(3)

# so we would give higher matching priority to women in higher position.
# We can use OSDR to find a minimum cost matching 
# performing matching by decreasing hierarchical position.