CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 Czech Statistical Office Prague, Czech Republic ESeC and Gender by Dalibor Holy

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic 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 OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 The ESeC

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 Basic description of the database  of employed persons  3125 were self-employed without employees; 1045 self-employed (employers) with employees; the rest was supposed to be employees  men and women  4563 had position of supervisor or manager and had not, the rest unknown  persons with timely unlimited labour contract; 2013 limited, the rest unknown - n.a.

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic 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 OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 Analysis II

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic 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

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 Correlation matrix

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic 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 OFFICE Na padesátém 81, CZ Praha 10, Czech Republic 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)

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 Analysis VI or Gender view

CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic 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 OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Bled, 29 – 30 June 2006 Thank you for your attention