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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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