| 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.
firma character vector
positiona numeric vector
educationa numeric vector
year_borna numeric vector
contracta numeric vector
part_fulltimea numeric vector
senioritya numeric vector
sexa numeric vector
positionis coded: 4 = top manager, 3 = medium/first line manager, 2 = supervisor
sexis coded: 0 = M, 1 = F
educationis coded: Post-graduate = 5, Graduate = 4, High school = 3
contract typeis coded: fixed term = 4; permanent = 3
seniorityis 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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