Fixing to Change:

A Best Practices Assessment of
One-Stop Job Centers Working with Welfare Recipients

Chapter 6:
Empirical Evidence of Success


Contents of Chapter:


Most analysts would agree that real success in moving welfare recipients to self-sufficiency should be measurable in terms of employment and wage outcomes. The data we have been able to gather on the one-stop models presented in this study do indicate that for the most part, these models have been at least partially successful.  However, these data also highlight some of the gaps and limitations in the One-Stop concept as it has been implemented so far. To the degree that most states' welfare reform programs and all of the models examined are still evolving, this by no means is a final commentary on the potential for one-stop centers to meet the needs of families moving from welfare to self-sufficiency.

Methodology


The original design of this research called for the collection of administrative data from welfare, employment services, and unemployment insurance records to assess the characteristics of welfare participants at different stages in their contact One-Stop services. Specifically, participating One-Stop models were asked to provide three types of data:

The first and last of these requested data proved to be difficult to gather and/or acquire. In the case of the general characteristics of the welfare population, the sites examined had little or no historical data tracking these measures. Acquisition of unemployment insurance data also proved to be very difficult, due to the lack of data sharing agreements between agencies and their authority to share this information with outside researchers.

Fortunately, the administrative records for some of the sites proved to offer sufficient characteristic, service, termination, and follow-up data to permit some limited, empirical assessment of three of the One-Stop models examined -- Tarrant County, Traverse City, and Bellingham. Records from Iowa simply did not contain enough observations to include in this analysis. Administrative records from Kenosha were quite extensive with regard to the services provided, termination, and follow-up outcomes, but we were not able to match these records with the characteristics of the clients served. As a result, our analysis of Kenosha is limited to that which might be gleaned from the aggregate data contained in quarterly management reports.

Policy Changes and Limitations of the Data


The data presented in this chapter were gathered during one of the most tumultuous years for welfare policies in recent history. Many states implemented their own welfare reforms in the wake of the federal welfare policy changes. As a result, the empirical measures presented typically reflect characteristics, services and outcomes over the course of multiple policy regimes, or during times when a new policy regime was anticipated and preparations were being made for transition. Typically, the new policies meant increased work and work search requirements, which may have the effect of motivating higher levels of service use and completion, and result in higher levels of accepting initial employment. This study does not attempt to differentiate any of the measures reported according to changes in policy, recognizing that to do so would introduce too many variables and uncertainties into the sampling frame and would imply a level of analytic rigor that would be unsupported by the methodology. Rather, the basis for this approach is the assumption that for the current time, state and local welfare programs are in a state of flux, and any assessment of One-Stop employment services models should simply take this changing policy environment into account.

As a result, the conclusions that can be reached based on the data presented here may be limited. Note that the time frames, measures, and definitions vary from site to site, making each data set unique and not strictly comparable to data from other sites. Nonetheless, these data do help us understand which subgroups of welfare recipients seem to be getting better access to services or are having trouble with the One-Stop systems.

Kenosha County Job Center


Despite the very impressive shared data system for providing client services in the Kenosha County Job Center, we were unable to obtain a sample of client service records that contained even limited client characteristics. Instead, our analysis is based on a series of fourth quarter reports (cumulative) for calendar year 1996. These internal reports are produced quarterly for purposes of Center management, tracking some very basic client characteristics and outcomes for clients with dependents under age 2 years and clients with children between 2-18 years old. All cases are included, including repeat clients. These data are summarized in Table 1. In addition, these reports track the use of different services offered by the One-Stop (summarized in Chart 1).

Table 1
Kenosha County Job Center

    Employment
All JOBS Age Youngest Dependent Voc
Skill
Training
WkEx
To
Job
Employed <=29 hours >29 hours FT Job Retained
1 yr >2yr % Wage % Wage 30 days 180days
All JOBS 100% 26.1% 67.8% 5.7% 4.8% 42.7% 12.5% $5.72 30.2% $6.22 100% 26%
Age Youngest Dependent
   1 year 27.8% 100% n.a. 5.1% 4.6% 46.6% 13.6% $5.34 33.1% $5.95 100% 26%
   2-18 years 72.2% n.a. 100% 5.3% 4.9% 41.2% 12.2% $5.82 29.0% $6.30 100% 26%
Race/Ethnicity
   White 58.4% 58.9% 58.1% n.a. n.a. 55.3% n.a. n.a. n.a. n.a. n.a. n.a.
   African American 26.7% 26.7% 27.1% n.a. n.a. 30.9% n.a. n.a. n.a. n.a. n.a. n.a.
   Hispanic 14.1% 13.6% 13.9% n.a. n.a. 13.2% n.a. n.a. n.a. n.a. n.a. n.a.
   Asian 0.7% 0.1% 0.7% n.a. n.a. 0.4% n.a. n.a. n.a. n.a. n.a. n.a.
   Native American 0.1% 0.0% 0.1% n.a. n.a. 0.2% n.a. n.a. n.a. n.a. n.a. n.a.
Years of Education
   <12 46.6% 46.8% 47.8% n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.
   12/GED 37.4% 39.3% 37.4% n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.
   13-15 13.2% 12.9% 13.3% n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.
   16+ 1.3% 1.0% 1.5% n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.
Rural 10.7% 10.6% 11.3% n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.

Overall, more than half of the welfare clients served have graduated from high school or have a GED, and about 15 percent have at least one year of higher education or training. More than 40 percent of the Kenosha clients are nonwhite. Key observations about the data from the Kenosha County Job Center include:

Chart 1
Services:  Kenosha County Job Center

Service Component Referrals* Participants Participation
Rate
Service Unit
Distribution
Motivational Workshop 731 453 62.0% 16.4%
Group Assessment 788 482 61.2% 17.4%
Vocational Exploration 758 380 50.1% 13.7%
Individual Assessment 53 35 66.0% 1.3%
Job Seeking Skills Workshop 162 73 45.1% 2.6%
Job Search 1,262 806 63.9% 29.1%
Community Work Experience 454 161 35.5% 5.8%
Vocational Training 62 62 100.0% 2.2%
Adult Learning Lab 229 208 90.8% 7.5%
BA and BS Degree Programs 18 18 100.0% 0.7%
Other 166 89 53.6% 3.2%
TOTAL 4,683 2,767 59.1% 100.0%

* Includes multiple referrals, note that the number of participants is roughly half of the participation rate.

These data tend to confirm earlier characterizations of the Kenosha County Job Center based on focus group interviews, indicating a strong emphasis on motivation, assessment, and job search with a relatively good track record for short-term employment. Although it is difficult to tell from this data, case managers felt that the difficulty of cases was increasing -- an observation that would be supported by the fact that over 45 percent of JOBS clients had not completed their high school degree or GED.

Tarrant County Employment Network


The Tarrant County Employment Network provided us with a sample of 72 JOBS cases drawn from entering participants during calendar year 1996. This sample included information about client characteristics, case manager contacts, long term welfare recipiency, and status at termination from the JOBS program. No consistent data were available regarding wages and hours for those employed, nor follow-up data regarding employment retention.

Overall, JOBS participants at the Employment Network tend to be older, non-white, with a high number of dependents and low levels of education. Over 62 percent have no high school diploma or GED, more than half are over age 25, and 44 percent have three or more dependents. Fewer than one-third are white, and more than half have participated in the welfare system for 36 or more of the 60 months prior to entry to the JOBS program. It is useful to note that about 36 percent of all clients included in this data analysis were currently active in the JOBS program at the end of calendar 1996.

Note that the "termination status" reported in the table below lists a series of mutually exclusive reasons/status at termination. Some were current participants, some were employed, others received assessment only, while others completed a GED or were referred to training.

These data tend to confirm earlier characterizations of the Employment Network's client population. Key observations about the Tarrant County Employment Network data include:

Table 2
Tarrant County Employment Network

  All Jobs Ave
Csmgr
Cntcts
Long
Term
Welfare
Length of Participation Termination Status (exclusive outcomes)
Shortest
Quartile
Longest
Quartile
Ave
Length
Active Assess Employ GED Refer to
Training
Increase
Grade
Negative
All JOBS 100.0% 32.5 54.2% 25.0% 25.0% 162.0 36.1% 6.9% 16.7% 20.8% 4.2% 5.6% 16.7%
Female 97.2% 32.6 55.7% 25.7% 25.7% 162.2 35.7% 7.1% 17.1% 21.4% 4.3% 5.7% 15.7%
Single Parent 83.3% 33.2 53.3% 26.7% 26.7% 165.3 35.0% 8.3% 13.3% 20.0% 5.0% 5.0% 18.3%
Long-Term Welfare 54.2% 35.4 100.0% 25.6% 25.6% 157.2 33.3% 5.1% 17.9% 25.6% 7.7% 0.0% 20.5%
Race/Ethnicity
White 31.9% 36.5 52.2% 26.1% 30.4% 171.2 39.1% 4.3% 8.7% 34.8% 4.3% 4.3% 13.0%
African American 27.8% 20.2 60.0% 35.0% 25.0% 159.7 15.0% 15.0% 30.0% 15.0% 10.0% 5.0% 20.0%
Hispanic 36.1% 40.4 53.9% 15.4% 19.2% 152.7 50.0% 3.9% 11.5% 15.4% 0.0% 7.7% 15.4%
Asian 0.0% * * * * * * * * * * * *
Native American 4.2% 14.3 33.3% 33.3% 33.3% 187.7 33.3% 0.0% 33.3% 0.0% 0.0% 0.0% 33.3%
No. of Dependents
0 2.8% 13.5 50.0% 50.0% 0.0% 81.5 50.0% 0.0% 0.0% 0.0% 0.0% 0.0% 50.0%
1 25.0% 25.5 38.9% 27.8% 11.1% 139.6 33.3% 11.1% 16.7% 16.7% 5.6% 11.1% 11.1%
2 27.8% 24.0 65.0% 25.0% 30.0% 178.7 10.0% 5.0% 40.0% 30.0% 0.0% 0.0% 30.0%
3+ 44.4% 42.8 56.3% 21.9% 31.3% 169.1 53.1% 6.3% 3.1% 18.7% 6.3% 6.3% 9.4%
Age
<19 11.1% 33.1 25.0% 25.0% 0.0% 126.0 25.0% 0.0% 0.0% 25.0% 0.0% 37.5% 12.5%
19-24 33.3% 30.1 54.2% 25.0% 33.3% 177.6 33.3% 4.2% 29.2% 25.0% 4.2% 0.0% 16.7%
25-39 51.4% 35.8 59.5% 21.6% 24.3% 161.9 40.5% 10.8% 10.8% 18.9% 5.4% 2.7% 16.2%
40+ 4.2% 8.7 66.7% 66.7% 33.3% 134.3 33.3% 0.0% 33.3% 0.0% 0.0% 0.0% 33.3%
Years Education
<12 62.5% 41.0 51.1% 20.0% 31.1% 178.4 35.6% 0.0% 6.7% 28.9% 4.4% 8.9% 22.2%
12 27.8% 20.0 65.0% 35.0% 10.0% 119.8 40.0% 15.0% 30.0% 10.0% 5.0% 0.0% 10.0%
13-15 9.7% 13.4 42.9% 28.6% 28.6% 177.1 28.6% 28.6% 42.9% 0.0% 0.0% 0.0% 0.0%
16+ 0.0% * * * * * * * * * * * *

*  Insufficient cell size for accurate reporting.

Northwest Michigan JobNet


The Northwest Michigan JobNet provided us with a sample of 150 cases entering their system between mid-1996 and mid-1997. These data included basic characteristics (excluding years of education and number of dependents), number of services and amount of supplemental cash assistance provided, termination data, and employment, wage and hours data.

In general, the welfare population served by Northwest Michigan JobNet appears to be rural, predominantly white, older than 25 years, with a slightly higher proportion of males than perhaps some other sites. Less than one-third of JobNet clients fell into the target group for potentially difficult and complex cases, including clients with a preceding welfare cases, older children, or less than 24 years of age with no high school degree or work experience.(36)  Key observations based on the data provided by the Northwest Michigan JobNet include:

Table 3
Northwest Michigan JobNet

    Termination Employed Length of Participation Supplemental Assistance
All JOBS Services Orient Only Non-Comply Employ Ave Wage Ave Hrs Shortest Quartile Longest Quartile Ave Days Receive Average
Amount
None Single Multiple
All JOBS 100.0% 19.3% 34.0% 46.7% 8.7% 10.7% 45.3% $ 5.89 31.8 25.3% 25.3% 81.4 52.0% $ 234.78
Female 75.3% 18.6% 36.3% 45.1% 8.0% 10.6% 46.9% $ 5.68 30.5 24.8% 28.3% 84.0 52.2% $ 223.27
Rural 54.7% 23.2% 26.8% 50.0% 11.0% 6.1% 46.3% $ 6.02 32.5 29.3% 20.7% 77.3 46.3% $ 152.77
Target Group
Preceding Case 10.7% 18.8% 25.0% 56.3% 6.3% 18.7% 37.5% $ 5.83 29.8 37.5% 31.3% 79.6 62.5% $ 311.73
Older Children 2.0% * * * * * * * * * * * * *
<24, no HS/Wk Exp 16.7% 32.0% 32.0% 36.0% 20.0% 4.0% 44.0% $ 5.74 33.7 36.0% 24.0% 73.0 44.0% $ 126.48
Race/Ethnicity
White 90.7% 19.1% 33.1% 47.8% 8.1% 10.3% 45.6% $ 5.93 31.9 24.3% 25.7% 82.3 52.2% $ 238.04
African American 4.0% 33.3% 50.0% 16.7% 33.3% 16.7% 16.7% $ 5.50 20.0 50.0% 0.0% 45.8 50.0% $ 312.32
Hispanic 4.0% 16.7% 33.3% 50.0% 0.0% 16.7% 50.0% $ 5.58 36.7 33.3% 33.3% 82.2 50.0% $ 37.88
Native American 1.3% * * * * * * * * * * * * *
Asian 0.0% * * * * * * * * * * * * *
Age
<19 4.7% 42.9% 14.3% 42.9% 28.6% 0.0% 42.9% $ 5.08 28.3 42.9% 28.6% 63.1 42.9% $ 115.07
19-24 32.0% 22.9% 35.4% 41.7% 8.3% 10.4% 37.5% $ 6.00 33.6 29.2% 22.9% 79.7 45.8% $ 215.51
25-39 50.0% 14.7% 38.7% 46.7% 4.0% 12.0% 52.0% $ 5.86 31.3 18.7% 25.3% 86.3 54.7% $ 217.04
40+ 13.3% 20.0% 20.0% 60.0% 20.0% 10.0% 40.0% $ 6.12 31.9 35.0% 30.0% 73.3 60.0% $ 360.66

*  Insufficient cell size for accurate reporting.

In interpreting these data, it is useful to remember that both African American and Hispanic categories have very few observations (4 percent of the total for each), and so it is difficult to draw strong conclusions about these observations. Nonetheless, these data do tend to confirm earlier characterizations of the site in terms of the strong local emphasis on a full time work ethic. The low percentage of clients with preceding welfare cases provides a strong contrast with Tarrant County, Texas, where over half of all clients were long term welfare recipients.

Whatcom County NetWork Consortium


The Whatcom County NetWork Consortium provided us with a sample of 97 welfare clients who had used one or more of the services of the Consortium during calendar 1996. In addition to basic client characteristics, these data included information about the number of services provided, length of participation, and employment and wages upon follow-up.

Generally, the client base for Whatcom County is better educated and has fewer dependents than some of the other sites. Only 21 percent of all clients lack a high school diploma or GED, and 55 percent have only one dependent. Slightly more than one-third had worked during the preceding 26 weeks, with the bulk of the racial/ethnic minority group comprised of Hispanic clients. Key observations based on the data provided by the Whatcom County NetWork Consortium include:

Table 4
Whatcom County NetWork Consortium

    Services Length of Participation Follow-Up
  All TANF Single Multiple Ave # Multiple Shortest Quartile Longest Quartile Average Length Employed Average Wage
All TANF 100.0% 46.4% 53.6% 3.6 24.7% 24.7% 212.4 33.0% $ 8.61
Female 84.5% 46.3% 53.7% 3.7 24.4% 25.6% 219.1 29.3% $ 7.93
Single Parent 77.3% 44.0% 56.0% 3.6 24.0% 26.7% 220.7 29.3% $ 8.30
Worked in past 26 Weeks 36.1% 34.3% 65.7% 3.4 17.1% 31.4% 255.3 51.4% $ 9.34
Race/Ethnicity
White 79.4% 42.9% 57.1% 3.5 23.4% 26.0% 223.4 36.4% $ 9.00
African American 1.0% * * * * * * * *
Hispanic 15.5% 73.3% 26.7% 4.2 26.7% 13.3% 146.7 20.0% $ 5.50
Asian 2.1% * * * * * * * *
Native American 2.1% * * * * * * * *
Number of Dependents
1 54.6% 47.2% 52.8% 3.9 24.5% 26.4% 203.0 34.0% $ 8.20
2 24.7% 41.7% 58.3% 3.2 25.0% 20.8% 211.5 41.7% $ 8.72
3+ 20.7% 50.0% 50.0% 3.5 25.0% 25.0% 238.3 20.0% $ 10.17
Age
<19 8.2% 50.0% 50.0% 4.5 37.5% 25.0% 158.0 50.0% $ 5.88
19-24 34.0% 51.5% 48.5% 4.2 27.3% 18.2% 184.4 27.3% $ 8.47
25-39 44.3% 48.8% 51.2% 2.9 27.9% 20.9% 191.8 32.6% $ 9.79
40+ 13.4% 23.1% 76.9% 3.9 0.0% 53.9% 384.8 38.5% $ 7.73
Years of Education
<12 20.6% 40.0% 60.0% 4.0 25.0% 30.0% 211.3 30.0% $ 7.25
12 62.9% 45.9% 54.1% 3.4 21.3% 21.3% 205.1 37.7% $ 8.61
13-15 13.4% 61.5% 38.5% 3.8 46.2% 23.1% 206.5 23.1% $ 11.32
16+ 3.1% * * * * * * * *

*  Insufficient cell size for accurate reporting.

Which Clients Are Best Served by One-Stop Systems?


The preceding unique data sets seem to confirm the answers identified through focus group interviews, i.e., that welfare clients without a high school education, clients with large numbers of dependents, and clients who are older tend to have greater needs, use more services, take longer to progress through the system, and have less encouraging employment outcomes. While this information is not particularly new, the fact that One-Stop systems are tending to provide these clients with more services and assistance is encouraging, even if the employment outcomes are not entirely comparable with those of other clients. Of course, it should not go unnoted that the corollary of this pattern is also valuable information, that welfare clients with more education, fewer dependents, and young enough to be resilient in the job market are consuming relatively fewer services and are progressing faster through the system.

These data also confirm some of the difficulties facing One-Stop systems. Non-compliance seems to range from 10 percent to 17 percent. High proportions of welfare clients continue to drop out after the orientation session, and length of participation and employment rates seem to suggest that some groups of welfare recipients are either slipping through the cracks or are not responding well to the services provided. For example, Hispanic clients in the Washington State site have a high proportion of single service cases, a low average length of participation, and a low employment rate and wage rate upon follow-up. A similar pattern emerges for African American clients in Traverse City. Both of these cases involve only small samples of these subgroups and as such, limit our ability to generalize, but the presence of this type of pattern should be cause for caution.

The variation in the characteristics of the populations served across sites illustrates the need for flexibility in defining services and designing service systems that respond to unique local needs. Differences in local economies are very important in understanding the types of work skills necessary to be successful, yet differences in education levels, age distribution, number of dependents, and racial/ethnic diversity also persist, requiring careful attention to unique local design issues.


Footnotes

32.  These figures represent only a cross-section of client characteristics in time, and therefore would not capture the longitudinal effects of entrances of pregnant women who remain in the system for long periods of time. However, this observation was confirmed by Kenosha Job Center managers.

33.  One exception appears to be clients age 40 years and over, who have a lower number of case manager contacts. However, the small number of clients in this group makes it difficult to draw conclusions about this group.

34.  "Long term" is defined as 36 or more months of welfare participation during the preceeding 60 months.

35.  Note that the length of participation in the JOBS program is measured from entry until the end of calendar 1996.

36.  Note that "complex cases" were defined and targeted by the One-Stop.

37.  Note that in the case of the NetWork Consortium, the sample included clients served during calendar 1996, and was not limited to clients entering the system during that year.


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