50
43
Figures A9a-d repeat this analysis for different race and income groups.
44
Figures A10a-d repeat this analysis for different race and income groups.
45
The recent California initiative to reduce pupil-teacher ratios ended in widely
acknowledged failure (Stecher and Bohrnstedt).
46
See Figure A11 for a diagram of the investment profile.
47
Table A6, from Currie, describes some of the main programs, evaluated by
randomized assignment, and their consequences. Table A7 shows the effects of large-
scale public early childhood programs which were not evaluated by randomized
assignment.
48
See Table A8.
49
Arguably the experimental studies understate the value of early childhood
interventions against “no intervention” because some of the control group children
received treatment. See Heckman, LaLonde, and Smith for an additional discussion of
randomization.
50
Poverty status was determined by a formula that considered rooms per person in
the child’s household, parental schooling and occupational level. The IQ range was
labeled as “borderline educable mentally retarded” by the state of Michigan at the time of
the experiment. Only children without an organic mental handicap were included in the
study.
51
51
Some aspect of the assignment was clearly nonrandom. First, younger children
were assigned to the same group as their older siblings. Two treatment children were
transferred to the control group because their mothers were not able to participate in any
classes or home visits because they were employed far from home. Four treatment
children left the program before completing the second year of preschool when their
families relocated and one control child died. Thus, the final sample consisted of 123
children came from 100 families. In the control group, 41 families contributed 1 child
each, and 12 families contributed 2 children each. In the treatment group, 39 families
contributed 1 child apiece, 6 families contributed 2 children apiece, 1 family contributed 3
and another 4 children. Assigning younger siblings to the same group effectively made
the family, rather than the individual, the unit of analysis. Still, it is difficult to argue that
assigning siblings at random would have been a better strategy. So-called spillovers to the
control siblings from home visits would have been one possible source of bias since
mothers cannot be expected to treat siblings in accordance with their experimental status.
Another potential source of bias is spillover from one sibling to another. In any case,
differences in background characteristics between the two experimental groups are
virtually nonexistent, with the exception of much higher rates of maternal employment at
program entry in the treatment group.
52
52
This number is low relative to other early education experiments. For instance,
the student-teacher ratio for the Chicago Child-Parent Center and Expansion Program
ranged from 8 to 12 (see Fuerst and Fuerst).
53
Schweinhart, Barnes, and Weikart argue that the certification of the teachers is
an important component in the success of the Perry preschool.
54
The factors that were considered consisted of weighted measures of maternal
and paternal education levels, family income, absence of the father from the home, poor
social or family support for the mother, indication that older siblings have academic
problems, the use of welfare, unskilled employment, low parent IQ, family members who
sought counseling or support from various community agencies. Parental income and
education were considered most important in calculating the index.
55
These costs depend on the stage of the program and are presented in detail in the
next section.
56
See Schweinhart, et al. for a summary of results up through age 40.
57
The difference in employment rates was only significant at age 19.
58
Heckman notes that the Perry program tends to show stronger effects for girls
than boys.
59
There is a cost benefit study of the Abecedarian program (Barnett and Masse),
but it is highly speculative, so that we did not include it here.
53
60
Heckman, et al. present a comprehensive reanalysis of the Perry program.
Similar reanalyses are being conducted for each major intervention.
61
This task is being undertaken by a consortium housed at the Harris School,
University of Chicago.
62
See the evidence in Heckman, Stixrud, and Urzua.
63
See Cunha et al. for a summary of this evidence and Knudsen, et al.
64
See the evidence in Cunha and Heckman (2006).
Table 1. Characteristics of the labor force aged 25 and over and components of
change 1980, 2000, 2020
(Millions of workers)
Age Labor
Force in
1980
Growth
1980 –
2000
Labor
Force in
2000
Growth
2000 –
2020
Labor
Force in
2020
25 – 54
65.0
35.1
100.1
3.0
103.1
55 - 64
11.8
2.2
14.0
12.5
26.5
65
+
3.0 1.4 4.4 4.0 8.4
Total
79.8 38.7 118.5 19.4 137.9
Race/Ethnicity/Nativity
White Non-Hispanic –
Native
63.0 21.5 84.5 2.6 87.1
Black Non-Hispanic –
Native
7.6 4.6 12.2 2.8 15.0
Hispanic – Native
2.5
2.3
4.8
6.8
11.6
Other Non-Hispanic –
Native
0.8 1.0 1.8 1.2 3.0
Hispanic – Foreign Born
1.8
4.5
6.3
2.8
9.1
Non-Hispanic – Foreign
Born
4.1 4.8 8.9 3.3 12.2
Total
79.8 38.7 118.5 19.4 137.9
Summary
Native White Workers 25 -
54
50.8 19.3 70.1 -7.7 62.4
Native White Workers 55
& Over
12.2 2.2 14.4 10.3 24.7
Workers of Color 25 – 54
9.4
7.3
16.7
7.7
24.4
Workers of Color 55 &
Over
1.6 0.5 2.1 3.0 5.1
Foreign
Born
Workers 5.9 9.4 15.3 6.0 21.3
Total
79.8 38.7 118.5 19.4 137.9
Source: Ellwood (2001)
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