Title: Gender differences in earnings over the lifecourse
1Gender differences in earnings over the lifecourse
- Heather Joshi,
- Centre for Longitudinal Studies, Institute of
Education, University of London - GeNet seminar on Gender and Ageing
- Cambridge October 4 2005
2Individual Incomes of men and women, by age 2003-4
Family Resources Survey
3Differences between mens and womens incomes to
be unpacked
- Vary by source
- Earnings, benefits, savings
- Differ by age
- Cohort and Lifecourse
- Differ by level of initial human capital
- Education ( here)
- This talk focuses on earnings, likely to affect
pension and savings - and particularly hourly pay as the driver of
other differences, though itself affected by
previous experience
4Overview across cohorts
- Simulations of lifetime incomes, partly
projected, up to retirement age cohorts entering
the labour market in post-war Britain - Averaged over 3 levels of education and three
family sizes - Men assumed to work continuous full-time
- Women to have interruptions and part-time work
for children, and to be paid less on that
account, and for a pure gender penalty
5Cohort difference in relative earnings
6VERY STYLIZED FACTS
- Women of the generation newly retired have only
about one fifth the earnings record behind them
of their male contemporaries - Increased employment participation and higher
relative wages projected to raise this
proportion, but only to 62 by the time the 1970
cohort retires in 2035 - Current and future women pensioners cannot rely
on equal pay to produce equal pensions
7Cohort differences in family and education women
now aged 35-85
8Cohort effects participation
9Simulated relative lifetime earnings by cohort,
children and education
10Differentials with Cohort
- The higher labour labour force participation of
the higher educated amplifies their higher pay to
generate much higher lifetime income than less
educated women, but still not as much as educated
men - Low educated women with large families
particularly likely to face dependence on men
and/or state
11Within lifecourse developments
- How and when are these differences in earnings
generated? - Focus on hourly pay, though hours of work also
then to fall over some parts of the lifecourse
12Age profile in pay per hour
- Pay gaps between men and women increase as age
increases. - Cohort effect?
- Is this just because the older people missed out
on Equal pay opportunities, - or Lifecourse effect?
- Is there a widening pay gap over the lifecourse
of a given cohort?
13Age Profile of Relative Pay
14Age and Cohort New Earnings Survey
15The Evolution of the Gender Pay Gap for Different
Birth Cohorts
Source Manning and Swaffield (2005), from New
Earnings Survey, includes part-timers
16Gender Differences in Wage Growth
Source Manning and Swaffield-MS(2005) New
Earnings Survey
17Widening gender wage gap
- Faster growth for men at least early on
- Does it merely reflect divergence in experience
on the labour market - Or does the underlying degree of unequal
treatment of also increase with age? - MS find that most of the growth in mens
relative pay over 1st 10 years reflects unequal
treatment. How does this tally with our findings?
18Potential components of the pay gap
19Some analyses of wage gaps, in terms of human
capital
20Sources for previous slide
21Findings on cohort members employed full-time,
1991-2000
- Unequal treatment varies across individuals not
necessarily systematically with the level of
wages, - Average unequal treatment fell from 16 to 12
during the 90s for women around the age of 30. - But 32 of women aged 30 in 2000 were treated no
better than if they had been paid at the rates
received by the previous cohort. - The position of women born in 1958 deteriorated
between age 33 and 42. The index of unequal
treatment increased from 12 to 21.- more or
less across the board. - Makepeace et al (2004)
22Relative hourly pay of women fulltimers over time
for full-timers in the 1958 cohort , adjusted for
human capital by quintile of original wage
Source Makepeace et al 2004 using NCDS
23Analysis of fulltimers in BCS70 and NCDS
Source Makepeace et al 2004 using NCDS and BCS70
24Wage ratios fitted for fulltime continuous worker
in WOMU model
Rake (ed) 2000
25Validation?
- Rising profile for graduates not supported by
MS work on 11 years observations of BHPS - Or the NCDS estimates for 33-42
- Small nos of graduates in the 1994 BHPS
- Otherwise simulated pattern fits cohort estimates
reasonably well - Lifetime equality for highly educated likely to
have been overestimated. - More support for age than education differnences
in gender premium
26Estimated gender premia by age and education
BHPS 1994 and cohort studies
27Conclusions
- Gender penalites increase over the lifecourse
even without taking into account interuptions,
part-time hours and part-time pay - For those who are already old this means a
substantial legacy of unequal earnings - For those who are young do not assume wage parity
will be sustained even for women pursuing an
uninterrupted career
28Further Research
- Our project will use longitudinal data on pay and
occupations to investigate the role of
occupational mobility in the evolution of the
relative fortunes of men and women as they get
older. - Our main evidence will come from the 1946, 1958
and 1970 birth cohorts - Team members Shirley Dex, Diana Kuh, Peter
Dolton, Kelly Ward,Jenny Neuburger,
29References
- Unequal Pay for Women and Men Evidence from the
British Birth Cohort Studies. Joshi and Paci - MIT Press 1998
- Gender earnings differentials over time, across
and within cohorts unequal pay among individuals
in British Cohort Studies,1991 and 2000,
Makepeace, Dolton and Joshi, International
Journal of Manpower Aug 2004 - Womens Lifetime Earnings . Rake (ed) Cabinet
Office, 2000, Section 3.4, Appendix1 and Appendix
5 - Gender and Pay some more equal than others H.
Joshi in A Heath, J Ermisch and D Gallie
(eds.) Understanding social Change. OUp for
British Academy 2005 - The Gender Gap in Early Career Wage Growth, Alan
Manning and Joanna Swaffield, LSE , May 2005 - Evidence to House of Lords Select Committee on
Economic Affairs Economics of Ageing, Heather
Joshi 2004