16
numbers in perspective, in 1940, this number was 3.8%.
The birth rate for unmarried Black women has been higher than that of White unmarried
women (including Hispanic women), but this gap has narrowed in recent years because the birth
rate has grown at a faster pace for unmarried White women.
25
In 1970, the rate for unmarried
Black women was roughly 7 times the rate for unmarried White women—96 per 1,000 versus 14
per 1,000. By 1998, the gap was reduced by 70%; it became 73 versus 38 per 1,000.
Unfortunately, the birthrate for unmarried Hispanic women is only available for the
1990s, but it is the highest among the three demographic groups. In 1990, the birthrate for
unmarried Hispanic women was 89.6 per 1,000, peaked at 101.2 per 1,000, and fell to 90.1 per
1,000 in 1998.
26
The same trend holds for the percentage of births to unmarried mothers within each
race.
27
In 1969, 5.5% of white children were born to unmarried mothers. The corresponding
percentage for blacks was 34.9%. By 1999, these numbers were 26.7% and 68.8%, respectively.
The percentage for Hispanics in 1999 was 42.1% versus 36.7% in 1990. Until recently,
unmarried births have been increasing overall, although the percentage due to minority mothers
has stabilized.
28
Single parenthood is much more prevalent for high school dropouts (see figure 6b and the
discussion in Ellwood and Jencks, 2002). Although the media has focused on celebrities who
choose single parenthood, the bulk of the single mothers have high school education or less and
the majority of this group consists of high school dropouts (see figure 6c). The incidence of
divorce is greater for this group as well.
29
The percentage of children born to unmarried
teenagers has trended up dramatically over the past fifty years. Close to 10% of all children were
born to unmarried teenage mothers in 2000 (see figure 6d).
Many pathologies are associated with less educated mothers and teenage mothers. They
17
are less likely to marry when they have children and they are more likely to divorce. Their
abilities, (see Armor, 2003), family incomes, and the emotional and intellectual support accorded
children are low. Figures 7a-b show that younger mothers provide less emotional and cognitive
stimulation for their children, as do mothers with less schooling (figures 7c-d). While the debate
is not settled as to which features of adverse family environments are most harmful to the success
of children, there is uniform agreement that poor environments adversely affect child outcomes.
Other studies show the same pattern. Mayer analyzed child outcomes classified by a long
run measure of parental income.
30
Low family income is associated with single parenthood,
divorce, reduced education, and low parental ability. Child test scores are greater for children
from higher income families. Teenage pregnancy and high school dropout rates are strongly
negatively correlated with family income. Young adult education, earnings, wage rates and
participation in social pathologies are much greater for children from poor families. Mayer does
not isolate which factors in the constellation of poverty are the main causes of poor child
outcomes; but the constellation has a clear association with adverse child outcomes.
McLanahan and Sandefur focus on another aspect of childhood disadvantage: one-parent
vs. two-parent families. For a variety of data sets, and controlling for parental education, and
family size, they show that: 1) attrition from high school is higher
31
, while test scores and school
expectations are lower for children from one parent families
32
; 2) college enrollment is lower
33
;
3) labor force and school withdrawal is greater for disadvantaged children
34
; and 4) teenage
pregnancy is greater.
35
Ginther and Pollak extend their analysis to note that the real dichotomy is
that between children living with both biological parents vs. other family structures. Being raised
in an intact, two-parent family benefits child outcomes, relative to other family statuses.
Armor presents evidence on a variety of home environmental factors and uses test scores
of children as the outcomes for his analysis. Test scores, taken at early ages, predict schooling
18
and many other outcomes (see Cameron and Heckman, 2001). Armor shows the gap in ability
and knowledge of math between children of teenage mothers and children of older mothers.
36
The gaps are 20 points when he does not control for maternal ability and are smaller but still
important when he controls for parental ability (6 points higher ability leads a person to complete
two more years of school). His book demonstrates the importance of parental ability as well as
the additional negative effect of teenage pregnancy on child outcomes.
Armor studies the effects of cognitive stimulation on child ability and math scores.
37
He
goes part way toward isolating the factors characterizing adverse environments. Armor studies
the effects of various environmental factors on the ability and math achievement of children.
38
Mothers’ ability plays an important role but even controlling for that effect, family environmental
factors play a substantial role in raising child test scores. Controlling for maternal ability, never-
wed mothers who provide above average cognitive stimulation to their children can largely offset
the circumstance of single parenthood in terms of their child’s cognitive outcomes. This evidence
is consistent with a large body of research reported in the National Research Council Report
Neurons to Neighborhoods (Shonkoff and Phillips; Carneiro, Heckman, and Masterov; and
Cunha, et al.).
The growth of adverse childhood environments explains a substantial part of the problems
of schools, skills and crime in American society. It is especially problematic that poor
environments are more common in the minority populations on which America must depend for
the growth in its labor force (recall the data in table 1). Unless these environments are improved,
one cannot rely on a growth in the skills of these groups to propel growth in workforce quality at
the rate we have experienced in the past.
The Importance of Cognitive and Noncognitive Ability in Economic Life
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