Upload
ulysses-soto
View
79
Download
7
Embed Size (px)
DESCRIPTION
Czech Statistical Office Prague, Czech Republic. ESeC and Gender by Dalibor Holy. The first attempt. 1st quarter 2006 Labour Force Survey (LFS) data have been used as the most appropriate source. The ESeC 1-digit code has been derived using following variables: ISCO 3-digit code - PowerPoint PPT Presentation
Citation preview
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Czech Statistical OfficePrague, Czech Republic
ESeC and Gender
by
Dalibor Holy
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
The first attempt
1st quarter 2006 Labour Force Survey (LFS) data have been used as the most appropriate source. The ESeC 1-digit code has been derived using following variables:
- ISCO 3-digit code
- Status in employment
- Supervision or managerial position
- Number of persons on the workplace
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
The ESeC
ESeC1
ESeC2
ESeC3
ESeC4
ESeC5
ESeC6
ESeC7
ESeC8ESeC9
Large employers, higher grade professional, administrative & managerial occupations
Low er grade professional, administrative and managerial occupations and higher grade technician
Intermediate occupations
Small employer and self employed occupations (exc agriculture etc)
Routine occupations
Self employed occupations (agriculture etc)
Low er supervisory and low er technician occupations
Low er services, sales & clerical occupations
Low er technical occupations
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Basic description of the database
27845 of employed persons 3125 were self-employed without employees; 1045
self-employed (employers) with employees; the rest was supposed to be employees
15446 men and 12399 women 4563 had position of supervisor or manager and
23153 had not, the rest unknown 21460 persons with timely unlimited labour
contract; 2013 limited, the rest unknown - n.a.
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Analysis I
Variables for the analysis: Sex (dummy: 0-man; 1-woman) Scale of Education (ISCED-97) Age groups (5-year intervals) Family status (single; married; widowed; divorced) - dummy: 0-not married; 1-married
(The ESeC was supposed to be a kind of scale for the correlation analysis)
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Analysis II
0
1000
2000
3000
4000
5000
6000
ES
eC1
ES
eC2
ES
eC3
ES
eC4
ES
eC5
ES
eC6
ES
eC7
ES
eC8
ES
eC9
nu
mb
er o
f p
erso
ns
Women
Men
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Analysis III – gender split
Men’s dominance is extreme in the ESeC 8 and also big is in the ESeC 1 and 4
Women are accumulated in the ESeC 3 and 7, i.e. in the middle of the scale
-3500-3000
-2500-2000-1500
-1000-500
0500
10001500
ES
eC
1
ES
eC
2
ES
eC
3
ES
eC
4
ES
eC
5
ES
eC
6
ES
eC
7
ES
eC
8
ES
eC
9
WOMEN
MEN
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Correlation matrixSPSS Correlations esec isced agegroup supervision isco family sex
esec Pearson Correlation 1 -0,5826967 -0,0507177 0,4471127 0,8620288 -0,0707871 -0,0687431
Sig. (2-tailed) . 0 2,491E-17 0 0 2,85E-32 1,586E-30
N 27845 27845 27845 27716 27845 27845 27845
isced Pearson Correlation-0,5826967 1 0,0265377 -0,2912148 -0,580784 0,0286063 0,0107712
Sig. (2-tailed) 0 . 9,473E-06 0 0 1,804E-06 0,0722807
N 27845 27845 27845 27716 27845 27845 27845
agegroup Pearson Correlation-0,0507177 0,0265377 1 -0,0814077 -0,01413 0,383759 0,0013205
Sig. (2-tailed) 2,491E-17 9,473E-06 . 5,651E-42 0,0183808 0 0,8256065
N 27845 27845 27845 27716 27845 27845 27845
supervision Pearson Correlation0,4471127 -0,2912148 -0,0814077 1 0,4186905 -0,0883412 0,1172332
Sig. (2-tailed) 0 0 5,651E-42 . 0 3,825E-49 2,125E-85
N 27716 27716 27716 27716 27716 27716 27716
isco Pearson Correlation0,8620288 -0,580784 -0,01413 0,4186905 1 -0,0480433 -0,1511167
Sig. (2-tailed) 0 0 0,0183808 0 . 1,047E-15 6,76E-142
N 27845 27845 27845 27716 27845 27845 27845
family Pearson Correlation-0,0707871 0,0286063 0,383759 -0,0883412 -0,0480433 1 7,804E-05
Sig. (2-tailed) 2,85E-32 1,804E-06 0 3,825E-49 1,047E-15 . 0,9896102
N 27845 27845 27845 27716 27845 27845 27845
sex Pearson Correlation-0,0687431 0,0107712 0,0013205 0,1172332 -0,1511167 7,804E-05 1
Sig. (2-tailed) 1,586E-30 0,0722807 0,8256065 2,125E-85 6,76E-142 0,9896102 .
N 27845 27845 27845 27716 27845 27845 27845
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Analysis IV – correlation
The demographic variables are not strongly correlated with each other (sex, age, family status, education), exc. age and family status, it seems that the LFS data are almost perfectly suitable for the ESeC analysis.
The ESeC is highly correlated (58%) with education scale: the higher level of education, the better position on the labour market
The correlation between the ESeC and sex is quite week (7%): men have better position that women
As well the correlation between the ESeC and family status is not great but relevant (7%): married people have higher position that not married.
The weakest relation is between ESeC and age group (5%): older people have slightly higher position that younger.
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Analysis V
Three islands: Blue-collar workers
(ESeC 8 and 9) with apprenticeship (ISCED 3c)
Technicians with secondary education with GCE (ISCED 3a,b)
Professionals with university degree (ISCED 5a) E
DU
1
ED
U2
ED
U3
ED
U4
ED
U5
ED
U6
ED
U7
ED
U8
ED
U9
ED
U10
ESeC1
ESeC2
ESeC3
ESeC4
ESeC5
ESeC6
ESeC7
ESeC8
ESeC9
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Analysis VI or Gender view
MEN WOMEN
ED
U1
ED
U2
ED
U3
ED
U4
ED
U5
ED
U6
ED
U7
ED
U8
ED
U9
ED
U10
ESeC1
ESeC2
ESeC3
ESeC4
ESeC5
ESeC6
ESeC7
ESeC8
ESeC9
ED
U1
ED
U2
ED
U3
ED
U4
ED
U5
ED
U6
ED
U7
ED
U8
ED
U9
ED
U10
ESeC1
ESeC2
ESeC3
ESeC4
ESeC5
ESeC6
ESeC7
ESeC8
ESeC9
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Conclusion notes
The Labour Force Survey is an appropriate data source.
The ESeC seems be a useful tool for gender analyses.
There are generally two ways of coding: for labour force analyses – individuals; for social analyses – households according to
the head of family (or rather family member with higher class of ESeC)
CZECH STATISTICAL OFFICENa padesátém 81, CZ - 100 82 Praha 10, Czech Republic
www.czso.cz
Bled, 29 – 30 June 2006
Thank you for your attention