Measuring Labour Force Participation in Denmark Annemette Lindhardt Olsen Statistics Denmark.
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Transcript of Measuring Labour Force Participation in Denmark Annemette Lindhardt Olsen Statistics Denmark.
Measuring Labour Force Participation in Denmark
Annemette Lindhardt Olsen
Statistics Denmark
Contents
• The statistical system
• Analyses on labour market participation in Denmark
• Dissemination
• Future
The statistical information system
Labour force 1958-2007
0
200
400
600
800
1.000
1.200
1.400
1.600
1.800
1958 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006
Men
Women
Number of people (in thousands)
Labour market rate by age. 1950 and 2007
0
10
20
30
40
50
60
70
80
90
100
Under 20 years 20-24 years 25-34 years 35-44 years 45-54 years 55-59 years 60 years+
Labour market rate
Men, 1950Men, 2007
Women, 1950
Women, 2007
Share of employees in the public sector
0
10
20
30
40
50
60
70
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
Men Women
Percentage
Employed aged 30-54 years by gender and hours worked. 1997-2007
0
10
20
30
40
50
60
70
1997Q1
1999Q1
2001Q1
2003Q1
2005Q1
2007Q1
Percentage Men
0
10
20
30
40
50
60
70
1997Q1
1999Q1
2001Q1
2003Q1
2005Q1
2007Q1
Percentage Women
0
10
20
30
40
50
60
70
1997
K1
1998
K1
1999
K1
2000
K1
2001
K1
2002
K1
2003
K1
2004
K1
2005
K1
2006
K1
2007
K1
Below 15 hours 15-36 hours 37 hours 38-48 hours 49 hours and more
Dissemination
• www.StatBank• Thematic publications• Database on gender-segregated statistics• De-identified microdata for researchers• Specially designed reports for ministries, labour
market organizations, and other interested parties
• Gender-segregated earnings statistics for companies
Pros and cons of register-based labour market statistics
• Data on whole resident population
• Administrative registers give high quality and regularity
• Longitudinal data
• Need for quicker data• Hours worked difficult to
measure• Gender pay-gap difficult
to measure• Informal sector can not
be measured
But in the near future…
• E-Income - new administrative data– monthly data from employers– hours worked– number of jobs– place of work