How Welfare and Employment Policies Affect Children Beth Clark-Kauffman Greg J. Duncan Northwestern...
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![Page 1: How Welfare and Employment Policies Affect Children Beth Clark-Kauffman Greg J. Duncan Northwestern University Pamela Morris MDRC.](https://reader036.fdocuments.in/reader036/viewer/2022083005/56649f1e5503460f94c35980/html5/thumbnails/1.jpg)
How Welfare and Employment How Welfare and Employment Policies Affect ChildrenPolicies Affect Children
Beth Clark-KauffmanGreg J. Duncan
Northwestern University
Pamela MorrisMDRC
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The Next Generation Project
Participating researchers from:
MDRCUniversity of Texas at Austin Northwestern UniversityUniversity of California at Los AngelesUniversity of OreganUniversity of MichiganNew York UniversitySyracuse UniversitySocial Research and Demonstration Corporation
www.mdrc.org/NextGeneration
Funders:
The David and Lucile Packard Foundation
William T. Grant Foundation
John D. and Catherine T. MacArthur Foundation
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Question:Question:
Do work-promoting welfare policies help or hurt poor children’s school achievement?
Method:Method: Pool data on ~30,000 children
whose families were enrolled in 7 random-assignment experiments
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Welfare Reform and Child Well-Welfare Reform and Child Well-BeingBeing
Welfare Reform Provisions
Work mandates and incentives
Sanctions
Time limits
Changes in Adult
Behavior
Employment
Welfare Receipt
Total Family Income
Changes in Child
Resources and
Context
Parenting; gatekeeping
Cognitive stimulation inside and outside the home
Maternal mental health
Changes in Child
Well-being
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Effects of welfare reform Effects of welfare reform policies on children may policies on children may differ by child age or stagediffer by child age or stage
Sensitivity to change Early childhood Transitions in development
BUT, also differences in family demography
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Turn to experiments of 1990s:Turn to experiments of 1990s:
Various “treatments” Mandated Employment Services
Work or Education Generous Earnings supplements Time limits
Random Assignment Follow-up after 2-3 and, in some
cases, 5 years
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In contrast with recent work In contrast with recent work with these data, we:with these data, we: Pool microdata rather than working
with study-specific impact estimates Allows us to test effects for smaller
groups of children Add more studies and longer-run
follow-ups from existing studies To understand generalizability of
effects
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ExperimentsExperimentsMandated
Training
Mandated work
Earnings supplements
Time limit
NEWWS
Atlanta 1 2
Grand Rapids 3 4
Riverside 5 6
MN MFIP I 7
MN MFIP II 8
Milwaukee New Hope 9
Canadian SSP 10
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Experiments (continued)Experiments (continued)Mandated
Training
Mandated work
Earnings supplements
Time limit
FL FTP 11
LA Gain 12
Connecticut Jobs 1st 13
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Sample SizesSample SizesAge: 0-1 2-3 4-5 6-7 8-9 10-11 12-15 ALL
ALL 1803 9021 10029 3985 3409 2558 2067 32872
Earnings supp.
MFIP 133 1037 970 821 730 537 564 4792
New Hope – 2 3 171 295 259 240 175 140 1283
New Hope – 5 174 356 238 255 213 101 0 1337
CT Jobs First 135 780 798 773 658 444 421 4009
SSP – 36 431 1163 1633 1248 1028 876 511 6890
SSP – 54 586 1229 512 0 0 0 0 2327
Non – ES
LA Gain 0 0 169 230 194 171 268 1032
NEWWS – 2 0 1275 1622 0 0 0 0 2897
NEWWS – 5 0 2392 3236 0 0 0 0 5628
FTP 341 618 556 399 346 254 163 2667
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Regression analysesRegression analyses Dependent variable:
Achievement Parent Earnings and Income
Independent variables: Experimental status x age Age Source of achievement report Study dummies Baseline earnings, AFDC, maternal education,
family structure, race/ethnicity, etc.
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Experimental Impacts on AchievementExperimental Impacts on Achievementstandard deviation units)standard deviation units)
*p<.10 **p<.05 ***p<.01
Age at baseline
All Earnings Supplement
Other Programs
0-1 -.062 -.040 -.181
2-3 .046 .067* -.030
4-5 .069** .112** .038
6-7 .007 .018 -.072
8-9 .023 .016 .043
10-11 -.102 * -.110* -.057
12-15 -.089 -.058 -.186*
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Effects are robust to model specification changes such as: Adding interactions between experimental indicator
and: Parent and family characteristics Follow-up length Source of achievement report
Including only the subset of studies that include all age groups
Clustering at various levels Including only one achievement score or point in
time per child
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Summary:Summary: Welfare reforms targeted to parents CAN
affect their children Program design matters
Policies that increase income bring benefits to younger children
Child age matters Welfare reform policies that increase
employment can benefit younger children Transitions in and out of middle childhood:
sensitive periods
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Gayle and her daughterGayle and her daughterGayle, a single mother of one adolescent-aged daughter, Susan, noted that Susan was having several problems in school. Skipping school had become a big problem. Normally getting C’s or better, Susan was now getting D’s and F’s. Gayle knew her daughter was skipping school, and she was sure it had been going on frequently. However, partly because Gayle had been working she didn’t know exactly how much school Susan had missed. Gayle was afraid to confront her daughter about it or ask the school because “it’s all gonna come down on me and I’m not ready to deal with it. I don’t think I should be punished for that.” Gayle was further frustrated because she knows Susan would be going to school every day if she was home. In this situation, Gayle feels trapped between caring for her daughter and working.
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Tina and her daughterTina and her daughter
Tina is a single mother. Her adolescent daughter Tamara takes her younger sister to day care in the morning:
“Cause she’s late every day for her school, every day. And what the school says to me is they gotta do what they do, what’s their policy. She’s gotta stay after school, do her detention or she’ll lose her credit out of that morning class cause she didn’t get there on time. So, she feels sad and I feel bad because I gotta be at work at 7. She can’t be at school by 7, she can’t. We all can’t be at the same place at the same time..”