gender statistics in the labour market angela me unece statistics division
TRANSCRIPT
Gender Statistics in the Labour Market
Angela MeUNECE Statistics Division
Economic life
WorkSegregation
Wages
Accessibility
Quality
Income Povert
y
Working age
Population
Labour Force
Outside labour force(not active)
Employed UnemployedHousework Study Pension Other
By occupation
By industry
By status
Segregation
Working age
Population
Labour Force
Outside labour force(not active)
Employed UnemployedHousework Study Pension Other
Activity rate
Unemployment Rate
Working age
Population
Labour Force
Outside labour force(not active)
Employed UnemployedHousework Study Pension Other
Employment Rate
Employment Indicators
Activity Rate = Labour Force/Total Working Age Population
Employment Rate =Total Employed/Total Working Age
Population
Unemployment Rate =Total Unemployed/Labour Force
Working age
Population
Labour Force
Outside labour force(not active)
Employed UnemployedHousework Study Pension Other
Labour Force Surveys, Census, Surveys
LFS, Census, Registers
Enterprise surveys,
LFS, Census
Unemployment
LFSRegistere
d
Employment
• Formally there is a clear distinction between employed and non employed population
• ILO definition: a person is currently employed if he/she has worked at least one hour the week previous the survey
• Work: for income (cash or kind) or unpaid production of goods
BUT … measurement challenges
Informal employmen
tDifficult to measure
Important because it identifies the quality of
work
Often informal employment is not measured: need for special module
in surveys
Formal employment
Easier to measure because close to the people idea of
work
What is Informal Employment?
Persons in informal employment are those who work in the informal sector or in formal units with no formal benefits
Informal employment is broader than employment in informal sector
Informal sector units are household units with low level of organization, small scale operations, casual labour relations, and where business and household accounting can not be distinguished
Paid/Unpaid work
Unpaid work Production of goods Production of services (child care,
preparation of meals, …)
Source
Time-use surveys
Paid/Unpaid work
Why is the measurement of informal sector and unpaid work a gender
issue?
Because they contribute to have a better understanding of women work
Occupational segregation
0102030405060708090
Nurses Home-based care
Technical Saleperson
WomenMen
Segregation
• Horizontal Segregation• There is no hierarchical order in the
different categories
• Vertical Segregation• There is a hierarchical order (salary,
power, prestige, …)
Inequality
Measurement of Segregation
Occupation Female Male
Legislators, senior official and managers
25,400 39,000
Professionals 92,300 54,600
Clerks 21,400 3,900
Plant and machine operators and assemblers
5,600 93,000
Measurement of Segregation
Occupation Distribution of Female
Distribution of Male
Legislators, senior official and managers
17.5% 20.5%
Professionals 63.8% 28.6%
Clerks 14.8% 2%
Plant and machine operators and assemblers
3.9% 48.9%
Measurement of Segregation
Occupation Sex distribution
female
Sex distribution
male
Legislators, senior official and managers
39.4% 60.6%
Professionals 62.8% 37.2%
Clerks 84.6% 15.4%
Plant and machine operators and assemblers
5.7% 94.3%
Measurement of Segregation
0 0.2 0.4 0.6 0.8 1 1.2
Legislators, senior official,managers
Professionals
Clerks
Plant and machine operators andassemblers
Female
Male
There is inequality: the smallest share of women is in the higher professional categories
Employment by status of employment
• Employees
• Employers
• Own-account workers
• Members of producing cooperatives
• Unpaid family workers
Self-employed
Employment: Data availability
Source Availability Data collection
By Occupation NSO Small categories need large
sample (census)
LFS, Census,
By Industry NSO Enterprise surveys may be incomplete/small categories need large samples
LFS, Census, Enterprise surveys
By status NSO LFS, Census
Gender Wage gap
Men average salary - women average salary
Men salary
• Does it measure discrimination?
Gender Wage gap
0
10
20
30
40
50
60
70
1995
2000
2001
2002
2003
Gender Wage gap
It simply measures different earnings between women and men without saying the causes
• Need to disaggregate wage gap by:• Occupation• Full/part time• ……
Gender Wage gap
Average wages can be calculated:
• Hourly• Weekly• Monthly• Annually
The average Hourly wage is the best measure since it overcomes the bias due to part-time and full-time jobs
Gender Wage gap
Sources
• Enterprise surveys
• LFS • Better source for disaggregated
data
Accessibility to labour market
Employment by family composition (number of children)
Need to include a module on family care
in LFS