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Examining the truth behind the myth of the 'the Monstrous Army on the March'

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Childless at 45. Childless at 45. Childless at 45. Childless at 45 ... Childless at 45 - Vocational. Childless at 45 - Academic. Cohort and Projection Method ... – PowerPoint PPT presentation

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Title: Examining the truth behind the myth of the 'the Monstrous Army on the March'


1
Social Polarisation in the timing of First Birth
  • Examining the truth behind the myth of the 'the
    Monstrous Army on the March'

Dylan Kneale Heather Joshi Institute of
Education
2
Background I
  • Recognition that rates of transition to
    parenthood are decreasing - Men and women are
    postponing parenthood or avoiding parenthood
    altogether.
  • Known patterns of social polarisation in age at
    first birth. Early parenthood associated with a
    range of negative predictive characteristics and
    outcomes for parents and children.
  • Recent interest has focussed upon role of
    education in determining rates of transition to
    parenthood.
  • In particular, education differentials have been
    isolated as markers of increasing polarisation in
    age at first birth.

3
Background II
4
Background Aims
  • (Wolf) Graduate women 'the Monstrous Army on
    the March'
  • What about graduate men monstrous army still
    marching?
  • Focus has been on increasing polarisation and
    rising childlessness but several different
    scenarios possible
  • In addition are differentials caused by different
    sample composition within groups, postponement or
    genuine decreased levels of transition?
  • Aims
  • Explore polarisation within and between two birth
    cohorts
  • Examine the situation for males increasing
    polarisation too?
  • Examine some of the determinants of fertility
    differentials

5
Data I
  • Analysis will use data from two British Birth
    Cohorts National Child Development Study (NCDS,
    1958) and the British Cohort Survey (BCS70,
    1970).
  • Both studies began as a census of all UK births
    in a week, with additions in childhood waves.
  • In total, data for 18,558 and 18,731 collected at
    some point for NCDS and BCS70 respectively.
  • Attrition has affected both studies, with sample
    sizes at the last wave of data collection
    totalling around 9,500 for both.
  • However, population estimates of fertility
    transition appear consistent with external data
    (for women)

6
Data II
1965 NCDS (Age 7)
1991 NCDS (Age 33)
2004 NCDS (Age 46)
1974 NCDS (Age 16)
1958 NCDS Birth
1969 NCDS (Age 11)
1981 NCDS (Age 23)
2000 NCDS (Age 42)
1975 BCS70 (Age 5)
2000 BCS70 (Age 30)
1986 BCS70 (Age 16)
2004 BCS70 (Age 34)
1980 BCS70 (Age 10)
1996 BCS70 (Age 26)
1970 BCS70 Birth
7
Changes in Sample Composition
  • Twelve year gap between cohorts has meant both
    were born into very different British societies
    (Wadsworth, Ferri et al. 2003). In particular,
    large changes in educational achievement.

8
Entry into parenthood Overall cohort populations
  • Similar proportions of early parents exist in
    both cohorts. Differences open up in early and
    mid twenties so that by 34 years

9
Highest educational level as a marker of
polarisation
10
Predicting future trends
  • Numerous different approaches for predicting
    future trends based on existing levels of
    polarisation. Five approaches used in the next
    part
  • NCDS parenthood
  • Postponed NCDS parenthood
  • Flight from parenthood
  • Covariate specific flight from parenthood
  • Covariate specific postponed flight from
    parenthood (!)
  • .and bringing in intentions later.

11
Results I Tertiary Qualified Women
12
Results II Tertiary Qualified Men
13
Results III Intermediate and No Qualifications
14
Increasing rates of polarisation?
  • Distinctive patterns of parenthood based on
    educational achievement in both cohorts.
  • For women, relative proportions entering
    motherhood by highest qualification level
    expected to stay constant childlessness
    expected to rise gradually among all groups.
  • For men, gap in fatherhood rates between
    education levels is projected to change in some
    scenarios.
  • Gap between tertiary qualified and males with no
    and intermediate qualifications could widenmyth
    of monstrous women replaced by monstrous male
    graduates?
  • Gap between males with no and intermediate
    qualifications could narrow.

15
Tertiary Qualified I Vocational Vs Academic
16
Tertiary Qualified II Subject of qualification
  • Childlessness at 34 results for academic
    graduates

17
Measuring Postponement and Infertility
  • Information on intentions to bear children and
    infertility of cohort member and/or partner
    collected in both cohorts.
  • This information gives the first indications that
    BCS70 cohort is postponing as opposed to avoiding
    parenthood.

18
Results IV The impact of postponement Tertiary
Qualified Males
19
Results V The impact of postponement Tertiary
Qualified Females
20
Conclusions I
  • Social Polarisation is evident in age at first
    birth.
  • Higher education levels obtained are correlated
    with later transition to parenthood.
  • Delay appears to have affected males with
    tertiary qualifications disproportionately.
  • Populations stratified by education level are not
    homogeneous between cohorts.
  • Partial estimates that do not fully take
    postponement and infertility into account predict
    higher rates of childlessness for all populations
    stratified by education level.

21
Conclusions II
  • When postponement and infertility are factored
    in, projected childlessness could actually drop.
    Polarisation remains in age of transition
    although attenuated for final transition rates.
  • However, this could well be offset by higher
    rates of unintended childlessness.
  • Mirowsky (2005) suggests 34 years to be the
    optimum age for childbearing taking into account
    socioeconomic and biological factors.
  • In terms of intentions at least, little truth in
    monstrous army on the march for women (or men).
  • Future Work
  • Project flight from parenthood scenario using
    infertility and postponement information

22
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