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52006200 Families and Social Policy September 5 2006

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Politics of child abuse, Yuri Kida. Savage Inequalities, Becky Owen ... How much money has been spent. How many are using the program. The # impact of a policy change ... – PowerPoint PPT presentation

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Title: 52006200 Families and Social Policy September 5 2006


1
5200/6200Families and Social
PolicySeptember 5 2006
2
This week.
  • Policy Evaluation and Politics
  • Ellwood, D.  1988.  "Values the Helping
    Conundrums." Poor Support, C 2. New York Basic
    Books, Pp. 14-44. WEBSITE
  • Urban Institute, Federalism after Katrina how
    social programs respond http//www.urban.org/Uplo
    adedPDF/311344_after_katrina.pdf Internet
  • Galster, G.  1996.  "The Challenges for Policy
    Research in a Changing Environment." The Future
    of the Public Sector Series No. 7. Urban
    Institute.
  • http//www.urban.org/UploadedPDF/pub_07.pdf
  • Dye, Thomas R. (2005) Policy Evaluation
    Finding Out What Happens After A Law Is Passed.
    READER
  • Book Reportspassing list around
  • Case for marriage, linda waite
  • Promises to keep, kathryn Edin
  • Would be week 11
  • Thursday
  • Politics, values, and why and how we should we
    help
  • Today
  • Basics of Policy Evaluation
  • Types of policy evaluation
  • What are the implications of federalism for
    evaluation
  • An Example/What is selection bias?
  • Application to Marriage policies

3
  • TENTATIVE SCHEDULE
  • All book reports on Tuesday of the week assigned
  • WEEK SIX 9/26-9/28 HISTORY OF SOCIAL WELFARE
    IN THE U.S.
  • WEEK SEVEN 10/3-10/5 WELFARE REFORM AND
    REAUTHORIJZATION
  • Melissa Napier/nickel and dimed Tuesday 10/3
  • Down and out in America the origins of
    homelessness 10/3who?
  • Work over welfare / Jared Bunnell
  • WEEK NINE 10/17-10/19 WOMEN, FAMILIES, AND
    POLICY CARING AND COPING
  • The time bind, AMY FOX
  • The high cost of motherhood, Krystal Razee
  • Balancing Act, Mary Ann Leimbech
  • WEEK TEN 10/24-10/26 WOMEN, TEEN PREGNANCY
    THE POLICY PROCESS
  • When children want children, marissa Martin
  • WEEK ELEVEN 10/31-11/2 WOMEN, MARRIAGE
    POLICY
  • Promises to keep, dieu
  • WEEK TWELVE 11/7-11/9 CHILDREN, INCOME AND
    POLICY
  • It takes a village, Who?
  • WEEK THIRTEEN 11/14-11/16 CHILDREN, NUTRITION,
    FOOD INSECURITY, AND POLICY
  • Sweet charity, Karen gilbert

4
Evaluationdoes the government know what they are
doing?
  • Yes
  • No

5
What do they know?
  • How much money has been spent
  • How many are using the program
  • The impact of a policy change
  • How programs are organized

6
Welfare caseload data
7
Outcome of welfare reform?
8
What they dont often know
  • What the benefits are of program for society
  • Welfare reform
  • If there are effectsshort term or long term?
  • Positive or negative effects?
  • Are the benefits greater than the costs?
  • Expanding medicaid but shrinking caseloads

9
The basics
  • Example Goals 2000
  • Consideration of the effects of a policy
  • Impact of policy change for the target group
  • Short and long term benefits
  • Indirect and symbolic costs and benefits
  • Calculate the costs and benefits?

10
Standard types of evaluation
  • Hearings by legislators
  • Breaux welfare hearing focuses on hard-to-employ
    Americans
  • Site visits
  • Hatch and child care
  • Program measures
  • Welfare caseloads
  • Citizen complaints
  • AARP

11
Systematic evaluations
  • Some sort of comparison or counterfactual
  • Before and after comparisons
  • Ex Health status and Health insurance coverage
    of kids in Utah before and after the
    implementation of the CHIP program
  • Comparisons between areas or groups with and
    without programs
  • Compare individuals who participate in jobs
    programs, before and after as well as comparing
    individuals who didnt participate in job
    training program, before and after.

12
Systematic evaluations
  • Comparisons of control and experimental groups
    before and after
  • classic research design Control and experimental
    must be the same in every way
  • New Hope program in WI
  • could get 4 benefits
  • job search assistance
  • placement in a community service job
  • earnings supplement
  • subsidized health insurance
  • subsidized child care.

13
PROBS W/ EXPERIMENTAL DESIGN
  • Hawthorne
  • Generalizing to nation
  • Ethical issues
  • Expense!

14
How to Study?
15
WIC and Infant Birth Weight
  • investigate the effects of prenatal WIC
    participation on relevant child outcomes with a
    nationally representative sample
  • use fixed effect sibling models to minimize
    potential for selection bias

16
Data
  • 1990 to 1996 survey rounds of the merged
    child-mother sample of the National Longitudinal
    Survey of Youth (NLSY)
  • Overall N 1984 children
  • (Sibship sample N 980)

17
  • SELECTION
  • selection is a question of bias
  • positive-if families who have more motivation are
    more likely to participate and then more likely
    to have better outcomes
  • negative if families who are doing poorly are
    more likely to get into the program and more
    likely to do worse on outcome.

18
  • Regular methods
  • Y ? ?1P ?2x ?
  • Problem unmeasured characteristics of mothers
    and children can lead to bias in estimating
    relationships
  • Sibling fixed effects Methods
  • ?yij yj) ?(Pij Pi) ?(xij xi) (?ij
    ?j)
  • Advantage removes the biasing effects of
    unmeasured mother and child characteristics

19
Prenatal WIC Participation among NLSY Sibling
Pairs
20
Key Outcomes
  • Infant Birth Weight
  • Measured in ounces
  • Difficult Temperament
  • Age-appropriate items pertaining to aspects of
    predictability, fearfulness, positive affect, and
    friendliness

21
  • Findings before selection
  • WIC is linked with lower infant weight
  • WIC is linked with increases in difficult
    temperament
  • Findings after selection
  • WIC is linked with higher infant weight
  • WIC is associated with decreases in difficult
    temperament

22
Problems with evaluation
  • Gov..
  • gov wants to satisfy many different groups with
    the same policy.
  • programs have symbolic value tarnished by
    scathing eval
  • Good policy eval takes a lot of time and
  • Academic/Gov
  • experimental research is unfair so it should not
    be done
  • New hope and that darn computer
  • If eval. fails to find effects, research was
    tainted by bias.
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