Microsoft Word Heckman final 2007-03-22c jsb doc



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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.

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  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.

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The same trend holds for the percentage of births to unmarried mothers within each 



race.

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  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.

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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.

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  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 



 

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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.

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  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

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 , while test scores and school 



expectations are lower for children from one parent families

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 ; 2) college enrollment is lower



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 ; 


3) labor force and school withdrawal is greater for disadvantaged children

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 ; and 4) teenage 



pregnancy is greater.

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  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 




 

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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.

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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.

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  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.

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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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