exdata | R Documentation |
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).
data("exdata")
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
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
# 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.
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