Table 2. Educational characteristics of the labor force aged 25 and over: 1980, 2000 and
2020
Labor
Force in
1980
Growth
1980 –
2000
Labor
Force in
2000
Growth in
2000 –
2020
Labor
Force in
2020
Education
Less than High School
17.3
-5.3
12.0
0.9
12.9
High School Only
31.5
6.3
37.8
3.8
41.6
Some Schooling Beyond High
School
13.8 19.1 32.9 6.2 39.1
College Degree or More
17.3
18.5
35.8
7.7
43.5
Total 79.8
38.7
118.5
18.6
137.1
% with College Degree
21.6%
30.2%
31.7%
Note: Assumes that subsequent cohorts have same education at age 25 as the cohort age 25 in
2000.
Source: Ellwood (2001).
Table 3. Aggregate Burden of Crime
Crime-induced Production ($ billion)
464
Opportunity Costs ($ billion)
152
Risks to Life And Health ($ billion)
672
Transfers ($ billion)
706
Gross Burden ($ billion)
1,995
Net of Transfers ($ billion)
1,289
Per Capita ($)
4,818
Source: Anderson (1999). All figures inflated to
2004 dollars using the CPI.
Table 4. Effects of early intervention programs
Program/Study
Cost*
Program Description
Pre-delinquency Crime
Abecedarian Project**
(Ramey, et al., 1988)
N/A
Full-time year round classes for
children from infancy through
preschool
No effect
Houston PCDC**
(Johnson, 1988)
N/A
Home visits for parents for 2 yrs;
child nursery care 4 days per week
in year two (Mexican Americans)
Rated less aggressive and hostile by
mothers (ages 8-11)
Perry Preschool
Program**
(Schweinhart, Barnes, &
Weikart, 1993)
$19,162 Weekly home visits with parents;
intensive, high quality preschool
services for one to two years
2.3 vs. 4.6 lifetime arrests by age 27;
7% vs. 35% arrested 5 or more times
Syracuse University
Family Development
(Lally, Mangione and
Honig, 1988)
$54,483 Weekly home visits for family; day
care year round
6% vs. 22% had probation files;
offenses were less severe
Yale Experiment
$33,319 Family support; home visits and
day care as needed for thirty
months
Rated less aggressive and pre-
delinquent by teachers and parents
(age 12½)
Note: All comparisons are for program participants versus non-participants.
a
Costs valued in 2004 dollars.
b
Studies used a random assignment experimental design to determine program impacts. Data from Donohue and
Siegelman (1998), Schweinhart, Barnes and Weikart (1993), and Seitz (1990) for the impacts reported here. N/A
indicates not available.
Source: Heckman, Lochner, Smith and Taber (1997).
Table 5. Estimated social benefits of increasing high school
completion rates by 1 percent
Estimated Change In
Crime
Social Benefits
Violent Crimes:
Murder
-373
$1,457,179,565
Rape
1,559
-$179,450,969
Robbery
918
-$11,116,176
Assault
-37,135
$475,045,373
Property Crimes:
Burglary
-9,467
$12,052,009
Larceny/Theft
-35,105
$8,958,962
Motor Vehicle Theft
-14,238
$22,869,192
Arson
-469
$23,637,635
Total:
-94,310
$1,809,175,590
Notes: Victim costs and property losses taken from Table 2 of Miller et
al.(1996). Incarceration costs per crime equal the incarceration cost per
inmate, $17,027 (U.S. Department of Justice, 1999), multiplied by the
incarceration rate (U.S. Department of Justice, 1994). Total costs are
calculated as the sum of victim costs and incarceration costs less 80% of
the property loss (already included in victim costs) for all crimes except
arson. Total costs for arson are the sum of victim costs and incarceration
costs since there is no transfer of property between victim and criminal.
Estimated changes in crimes adjust the arrest effect by the number of
crimes per arrest. The social benefit is the estimated change in crimes
times the total cost per crime. All dollar figures are adjusted to $2004
using the CPI. Source: Lochner and Moretti (2004).
Table 6. Evaluating school quality policies: discounted net returns to decreasing pupil-
teacher ratio by 5 pupils per teacher for people with 12 years of schooling in 1990
Productivity
Growth Rate
Includes 50% Social
Cost of Funds
Annual Rate of Return to
Earnings from School
Quality Change:
1%
2%
7% Discount Rate
0%
Yes
-9056
-8092
0%
No
-5716
-4752
1%
Yes
-8878
-7736
1%
No
-5538
-4396
5% Discount Rate
0%
Yes
-9255
-7537
0%
No
-5597
-3880
1%
Yes
-8887
-6802
1%
No
-5230
-3145
3% Discount Rate
0%
Yes
-8840
-5591
0%
No
-4810
-1562
1%
Yes
-8036
-3984
1%
No
-4007
45
Note: All values, in 1990 dollars, are given as net present values at age 8 of an individual; costs
of schooling improvements are incurred between ages 6 and 18 and benefits from increased
earnings occur between ages 19 and 65. Data for costs are from NCES 1993. Costs of adding
new teachers include salaries and capital, administrative, and maintenance expenditures.
Estimates of increases in earnings resulting from a decreasing the pupil-teacher ration by 5
pupils per teacher come from Card and Krueger (1992, table 3) which produces a range of
estimated earnings increase from about 1 to 4 percent, whereas most of the estimates are in the
1 to 2 percent range, which we use in this paper. To capture the benefits of smaller class sizes,
students must attend twelve years of higher-quality schooling. We calculate the costs for one
year of improvements and then calculate the present value of the costs over the twelve years of
school attendance.
Table 7. Economic benefits and costs
Perry Preschool
Chicago CPC
Child Care
986
1916
Earnings 40537
32099
K-12 9184
5634
College/Adult -782
-644
Crime 94065
15329
Welfare 355
546
Future Generation Earnings
6181
4894
Abuse/Neglect 0
344
Total Benefits
150525
60117
Total Costs
16514
7738
Net Present Value
134011
52038
Benefits-to-Costs Ratio
9.11
7.77
Notes: All values discounted at 3% and are in 2004 dollars. Numbers differ
slightly from earlier estimates because Future Generations (FG) Earnings
for Perry and CPC were estimated using the ratio of FG Earnings Effect to
Earnings Effect (about 15%) that was found in Abecedarian.
Source: Barnett (2004).
2
4
6
8
10
2
4
6
8
10
0
0.2
0.4
0.6
0.8
1
Decile of Noncognitive
Figure
9a. Probability of Being a High School Dropout by Age 30 - Males
i.
By Decile of Cognitive and Noncognitive Factors
Decile of Cognitive
Probability
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
ii.
By Decile of Cognitive Factor
Decile
Probability and
Confidence Interval (2.5-97.5%)
Notes: The data are simulated from the estimates of the model and our NLSY79 sample. We use the standard convention that hig
he
r deciles are associated with higher values of the variable.
The confidence intervals are computed using bootstrapping (200 draws). Source: Heckman, Stixrud and Urzua (2006).
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
iii.
By Decile of Noncognitive Factor
Decile
Probability
2.5% - 97.5 5 Conf
. Inter
va
l
2
4
6
8
10
2
4
6
8
10
0
0.2
0.4
0.6
0.8
1
Decile of Noncognitive
Figure
9b. Probability of Incarceration by Age 30 - Males
i.
By Decile of Cognitive and Noncognitive Factor
Decile of Cognitive
Probability
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
ii.
By Decile of Cognitive Factor
Decile
Probability and
Confidence Interval (2.5-97.5%)
Notes: The data are simulated from the estimates of the model and our NLSY79 sample. We use the standard convention that hig
he
r deciles are associated with higher values of the variable.
The confidence intervals are computed using bootstrapping (200 draws). Source: Heckman, Stixrud and Urzua (2006).
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
iii.
By Decile of Noncognitive Factor
Decile
Probability
2.5% - 97.5% Conf
. Inter
va
l
2
4
6
8
10
2
4
6
8
10
0
0.2
0.4
0.6
0.8
1
Decile of Noncognitive
Figure
9c. Probability Of Daily Smoking By Age 18 - Males
i.
By Decile of Cognitive and Noncognitive Factor
Decile of Cognitive
Probability
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
ii.
By Decile of Cognitive Factor
Decile
Probability and
Confidence Interval (2.5-97.5%)
Notes: The data are simulated from the estimates of the model and our NLSY79 sample. We use the standard convention that hig
he
r deciles are associated with higher values of the variable.
The confidence intervals are computed using bootstrapping (200 draws). Source: Heckman, Stixrud and Urzua (2006).
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
iii.
By Decile of Noncognitive Factor
Decile
Probability
2.5% - 97.5% Conf
. Inter
va
l
2
4
6
8
10
2
4
6
8
10
0
0.2
0.4
0.6
0.8
1
Decile of Noncognitive
Figure 9d. Probability Of Being Single With Child at Age 18- Females
i.
By Decile of Cognitive and Noncognitive Factors
Decile of Cognitive
Probability
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
ii.
By Decile of Cognitive Factor
Decile
1
2
3
4
5
6
7
8
9
10
0
0.2
0.4
0.6
0.8
1
iii.
By Decile of Noncognitive Factor
Decile
Notes: The data are simulated from the estimates of the model and our NLSY79 sample. We use the standard convention that hig
he
r deciles are associated with higher values of the variable.
The confidence intervals are computed using bootstrapping (200 draws). Source: Heckman, Stixrud and Urzua (2006).
Probability and Confidence Interval (2.5-97.5%)
Pronability
2.5% - 97.5% CI
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