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Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program. Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin Peter R. Mueser University of Missouri, IMPAQ International, LLC, and IZA - PowerPoint PPT Presentation
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Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin Peter R. Mueser University of Missouri, IMPAQ International, LLC, and IZA Kenneth R. Troske University of Kentucky and IZA Kyung-Seong Jeon University of Missouri Daver C. Kahvecioglu IMPAQ International, LLC November 2009 New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program
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Page 1: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Carolyn J. HeinrichLaFollette School of Public Affairs, University of Wisconsin

Peter R. MueserUniversity of Missouri, IMPAQ International, LLC, and IZA

Kenneth R. TroskeUniversity of Kentucky and IZA

Kyung-Seong JeonUniversity of Missouri

Daver C. KahveciogluIMPAQ International, LLC

November 2009

New Estimates of Public Employment and Training Program

Net Impacts: A Nonexperimental Evaluation of

the Workforce Investment Act Program

Page 2: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

1998 Workforce Investment Act (WIA)

Largest job-training program in the U.S.

• Implemented in 2000 in most states—replaced Job Training Partnership Act (JTPA)

Current annual federal budget: $3 billion

• Significantly lower relative to past public expenditures

Program implementation differs by state and local area

• Work-first emphasis, service sequencing, referrals, access to training

Page 3: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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WIA Adult Programs

Two primary adult programs serving:• Disadvantaged workers, both

unemployed and those in low-paying and unstable jobs

• Dislocated workers who have lost jobs or are slated to be laid off

Voluntary: participants recruited by local agency staff or referred by training providers– may have specific number of slots to fill• Locally-determined eligibility standards

Page 4: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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WIA Service Sequencing

Core services - outreach, job search, placement aid, and labor market information

Intensive services - comprehensive assessments, individual employment plans, counseling and career planning

Training services – mostly occupational/vocational training, some on-the-job training

• Most training provided with voucher

Similar services available to anyone in Employment Service

offices (“Wagner-Peyser” services)

Training time varies from a few months

up to 2 years

Page 5: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Analysis

Impact estimates for • Adult program• Dislocated Worker program• Incremental impact of Training services

vs. Intensive/Core services for these programs

Using state administrative data from 12 states: Connecticut, Indiana, Kentucky, Maryland, Mississippi, Missouri, Minnesota, Montana, New Mexico, Tennessee, Utah, Wisconsin

Page 6: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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Page 7: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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Comparison Groups

Comparison groups: UI claimants (9 states), Wagner-Peyser (3 states)

•Programs have substantial overlap

•WIA recipients receive the most meaningful services

WIA

Wagner-Peyser Services

UI Claim

Both are plausible comparison groups because they contain individuals with employment problems & those seeking assistance

Page 8: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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Measures

Outcomes: Earnings & employment 16 qtrs

Control variables: Calendar quarter of program entry Demographics: gender (exact match),

age, education, race/ethnicity Disability, veteran Local labor market Employment and earnings over the two

years prior to program entry Industry of most recent job Prior program participation (WIA, UI, ES)

Page 9: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

9

Overview of Analysis

WIA Program Group Sample Group

Adult DW Treatment Comparison

(a) (b) (c) (d)

1. X X WIA UI Claim or Wagner-Peyser

2. X X WIA Receiving UI UI Recipients

3. X X WIA Training WIA Core/Intensive

Page 10: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

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Estimates

Estimates for states are combined Weighted by number of WIA

participants•WIA participants entering in PY2003 and

PY2004

Estimate of average program impact across 12 states•Effect of the treatment (WIA) on the treated•Comparison group defined by program

contact in quarter of entry (UI claim or benefit, Wagner-Peyser service receipt, WIA participants who did not receive training services for training impact estimate)

Page 11: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Matching Procedures

Matching is within state, within gender, and (usually) within quarter of participation

Logit specification predicts propensity score• Details of variable coding differ by state;

approx. 100 individual characteristics, labor market experience and prior program participation, geographic area within state

Matching is many-to-one, using a caliper, with replacement (“radius matching”)

Standard errors use formula recommended by Imbens (2008) based on a conditional variance estimate

Page 12: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Basic Data: Demographics

12

WIA Adult

WIA Dislocated Worker

Comparison Group

Sample sizeUnique individuals 95,580 63,515 2,929,496

Units available for matching 97,552 64,089 6,161,510

Demographic Mean Mean MeanMale 0.420 0.482 0.585

Black 0.445 0.330 0.171Hispanic 0.031 0.022 0.064

Age 32.70 40.24 39.59

Years of education 12.27 12.55 12.42

Summary Statistics for WIA Participants and Comparison Group: 12 States

Page 13: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Basic Data: Adult Program Earnings

Figure III.1: Quarterly Earnings For WIA Adult Program and Comparison Program Participants Prior to and Following Participation: 12 States

0

1000

2000

3000

4000

5000

6000

7000

-16

-14

-12

-10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16

Quarters

Overall No Training Training UI ClaimentsComparison13

Dip in earnings is small for Adult Program participants

Dip in earnings is large for comparison program participants

Page 14: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Adult ProgramAll Services, Females

Figure V.1 Program Treatment Effect on Quarterly Earnings, Adult WIA versus Comparison Group : Females

$0

$200

$400

$600

$800

$1,000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Impact Impact ± 2SE

Earnings difference prior quarter 10 -48 (23)Earnings difference prior quarter 16 6 (39)

All Services Earnings

Females

14

Quarterly earnings increase by $600 in 16 quarters after program entry

(Mean quarterly earnings are $2000-$4000)

Estimates in quarters 1-3 are probably upwardly biased

Other estimates are realistic

Page 15: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Adult ProgramAll Services, Males

Figure V.2 Program Treatment Effect on Quarterly Earnings, Adult WIA versus Comparison Group : Males

$0

$200

$400

$600

$800

$1,000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Impact Impact ± 2SE

Earnings difference prior quarter 10 11 (31)Earnings difference prior quarter 16 -102 (58) All

Services Earnings

Males

15

Again, quarter 1-3 estimates upwardly biased

Other estimates are realisticQuarterly earnings increase by

$400 for males

Page 16: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Adult Program Training, Females

Figure V.15 Program Treatment Effect on Quarterly Earnings, Adult WIA Training versus Comparison Group : Females

-$400

$0

$400

$800

$1,200

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Impact Impact ± 2SE

Earnings difference prior quarter 10 13 (51)Earnings difference prior quarter 16 104 (90) Training

Earnings

Females

16

Comparison group is WIA participants who don’t enter training

Page 17: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Adult Program Training, Males

Figure V.16 Program Treatment Effect on Quarterly Earnings, Adult WIA Training versus Comparison Group : Males

-$400

$0

$400

$800

$1,200

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Impact Impact ± 2SEImpact ± 2SE

Earnings difference prior quarter 10 -38 (92)Earnings difference prior quarter 16 174 (187) Training

Earnings

Males

17

Comparison group is WIA participants who don’t enter training

Page 18: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Adult Program All Services, High Training States

Figure V.5 Program Treatment Effect on Quarterly Earnings, Adult WIA versus Comparison Group : 7 High Training States, Females

-$400

-$200

$0

$200

$400

$600

$800

$1,000

$1,200

$1,400

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Ear

nin

gs

Impact Impact ± 2SE

Earnings difference prior quarter 10 -18 (34)Earnings difference prior quarter 16 24 (113)

All Services Earnings

Females

7 High-TrainingStates

18

Initial increase greater

Page 19: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Adult Program All Services, High Training States

Figure V.6 Program Treatment Effect on Quarterly Earnings, Adult WIA versus Comparison Group : 7 High Training States, Males

-$400

-$200

$0

$200

$400

$600

$800

$1,000

$1,200

$1,400

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Ear

nin

gs

Impact Impact ± 2SE

Earnings difference prior quarter 10 39 (54)Earnings difference prior quarter 16 -230 (154)

All Services Earnings

Males

7 High-TrainingStates

19

No initial decline

Page 20: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Summary of Impact Estimates: Adult Program

At face value, results imply strong immediate impact

• Aggressive initial counseling (plausible?)

• Selection into program may cause positive initial impact estimates• Self-selection, counselor selection of those with

good prospects Training appears to be of some value, but

there may be selection bias in results Results for states with greater investments

(“high training” states) differ• No initial decline, greater growth over time in

impacts

Page 21: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Figure III.2: Quarterly Earnings For WIA Displaced Workers and Comparison Program Participants Prior to and Following Participation: 12 States

0

1000

2000

3000

4000

5000

6000

7000

Quarters

Qu

arte

rly

Ear

nin

gs

Overall No Training Training UI Claiments

Basic Data: Displaced Worker Program Earnings

Comparison

21

Dip in earnings is large for Dislocated Worker Program participants

Page 22: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Dislocated Worker Program

All Services, Females Figure VI.1 Program Treatment Effect on Quarterly Earnings, Dislocated Worker WIA versus Comparison Group : Females

-$600

-$400

-$200

$0

$200

$400

$600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Ear

nin

gs

Impact Difference in Difference (Base Quarter - 16) Impact ± 2SE

Earnings difference prior quarter 10 76 (31)Earnings difference prior quarter 16 233 (69)

All Services Earnings

Females

22

Difference-in-difference estimates is much lower

WIA entrants are advantaged relative to the comparison group: Causal impact is uncertain

Page 23: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Dislocated Worker Program

All Services, Males Figure VI.2 Program Treatment Effect on Quarterly Earnings, Dislocated Worker WIA versus Comparison Group : Males

-$600

-$400

-$200

$0

$200

$400

$600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Ear

nin

gs

Impact Difference in Difference (Base Quarter - 16) Impact ± 2SE

Earnings difference prior quarter 10 67 (41)Earnings difference prior quarter 16 267 (106)

All Services Earnings

Males

23

Difference-in-difference estimates is much lower for males, too

Page 24: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Dislocated Worker Program

Training, Females Figure VI.13 Program Treatment Effect on Quarterly Earnings, Dislocated Worker WIA Training versus Comparison Group : Females

-$1,400

-$1,000

-$600

-$200

$200

$600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Ear

nin

gs

Impact Impact ± 2SE

Earnings difference prior quarter 10 0 (94)Earnings difference prior quarter 16 -212 (205)

Training Earnings

Females

24

Page 25: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Impact Estimates: Dislocated Worker Program

Training, Males Figure VI.14 Program Treatment Effect on Quarterly Earnings, Dislocated Worker WIA Training versus Comparison Group : Males

-$1,400

-$1,000

-$600

-$200

$200

$600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Quarter

Ear

nin

gs

Impact Impact ± 2SE

Earnings difference prior quarter 10 43 (137)Earnings difference prior quarter 16 28 (305)

Training Earnings

Males

25

Page 26: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Summary of Impact Estimates: Dislocated Worker Program

Pattern of results consistent with expectations that WIA services require time to produce impacts for workers facing serious difficulties in obtaining reemployment

• DW participant earnings do not reach earnings of comparable nonparticipants until more than two years after participation

Estimates also imply little incremental impact of training for DW participants

• Unlikely initial costs of training could be recouped Results for 7 High-Training states show less evidence

of bias (especially for women) but impacts on earnings even after training is complete appear minimal

• There does appear to be some impact on employment26

Page 27: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Conclusion

Adult Program

• We observe long-term positive impacts of the WIA program

• Training also appears to be valuable Dislocated Worker Program

• Selection on stable unobserved factors may induce positive bias in impact estimates

• Program long-run impacts difficult to gauge• Long-term impacts appear minimal• Training appears to have little long-run effect

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Page 28: Carolyn J. Heinrich LaFollette School of Public Affairs, University of Wisconsin

Conclusion (continued)

Analysis shows both the potential benefits and the limitations of nonexperimental estimates based on administrative data

• Selection clearly affects results

• Patterns of estimates provide an indication of where impacts may be greatest

• Specification tests are important

• Comparison across control types and programs is useful

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