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REAT (version 3.0.2)

G.regions.emp: Employment data for German regions 2008-2014

Description

The dataset contains the industry-specific employment in the German region ("Bundeslaender") for the years 2008 to 2014.

Usage

data("G.regions.emp")

Arguments

Format

A data frame with 1428 observations on the following 4 variables.

industry

a factor containing the industry (in German language, e.g. "Baugewerbe" = construction, "Handel, Gastgewerbe, Verkehr (G-I)" = retail, hospitality industry and transport industry)

region

a factor containing the names of the German regions (Bundeslaender)

year

a numeric vector containing the related year

emp

a numeric vector containing the related number of employees

References

Statistische Aemter des Bundes und der Laender, Regionaldatenbank (2017): Sozialversicherungspflichtig Beschaeftigte: Beschaeftigte am Arbeitsort nach Geschlecht, Nationalitaet und Wirtschaftszweigen (Beschaeftigungsstatistik der Bundesagentur fuer Arbeit) - Stichtag 30.06. - regionale Ebenen(Tab. 254-74-4-B).

Examples

Run this code
# NOT RUN {
data(G.regions.emp)
# Concentration of construction industry in Germany
# based on 16 German regions (Bundeslaender) for the year 2008
construction2008 <- G.regions.emp[(G.regions.emp$industry == "Baugewerbe (F)" | 
G.regions.emp$industry == "Insgesamt") & G.regions.emp$year == "2008",]
# only data for construction industry (Baugewerbe) and all-over (Insgesamt)
# for the 16 German regions in the year 2008
construction2008 <- construction2008[construction2008$region != "Insgesamt",]
# delete all-over data for all industries
gini.conc(construction2008[construction2008$industry=="Baugewerbe (F)",]$emp, 
construction2008[construction2008$industry=="Insgesamt",]$emp)

# Concentration of financial industry in Germany 2008 vs. 2014
# based on 16 German regions (Bundeslaender) for 2008 and 2014
finance2008 <- G.regions.emp[(G.regions.emp$industry == 
"Erbringung von Finanz- und Vers.leistungen (K)" | 
G.regions.emp$industry == "Insgesamt") & G.regions.emp$year == "2008",]
finance2008 <- finance2008[finance2008$region != "Insgesamt",]
# delete all-over data for all industries
gini.conc(finance2008[finance2008$industry == 
"Erbringung von Finanz- und Vers.leistungen (K)",]$emp, 
finance2008[finance2008$industry=="Insgesamt",]$emp)
finance2014 <- G.regions.emp[(G.regions.emp$industry == 
"Erbringung von Finanz- und Vers.leistungen (K)" | G.regions.emp$industry ==
"Insgesamt") & G.regions.emp$year == "2014",]
finance2014 <- finance2014[finance2014$region != "Insgesamt",]
# delete all-over data for all industries
gini.conc(finance2014[finance2014$industry == 
"Erbringung von Finanz- und Vers.leistungen (K)",]$emp, 
finance2014[finance2014$industry=="Insgesamt",]$emp)
# }

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