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The Impact of the Automated Information Systems (AIS) for Child Support Enforcement on Child Support Policy Outcomes
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| Presenter(s):
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| Jeongsoo Kim,
University of California, Berkely,
jk37@berkeley.edu
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| Abstract:
This study evaluates the effect of the Automated Information Systems (AIS), of child support enforcement on child support collection outcome in the U.S. Using Current Population Survey (CPS) data from 2000 to 2005, I employ Heckman's two step method to deal with selection bias. The result in the first step shows a positive association between AIS and the probability of single mothers receiving child support from delinquent fathers. In the second step, AIS is statistically significant, indicating that among single mothers who received support, those living in a state that adopted AIS received $192 more per year, on average, than single mothers living in a state without AIS, holding other factors being constant.
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Projecting Staffing Needs for Program Evaluation and Budget Planning in Public Social Services
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| Presenter(s):
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| Joy Stewart,
University of North Carolina, Chapel Hill,
jstewart@unc.edu
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| Dean Duncan,
University of North Carolina, Chapel Hill,
dfduncan@email.unc.edu
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| Jilan Li,
University of North Carolina, Chapel Hill,
jilanli@email.unc.edu
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| Abstract:
The authors projected future staffing needs for a large public social services agency based on historical caseload data and comparison to local, state, and national caseload size standards. Utilizing forecasting methods, the researchers projected the number of staff needed over six years for all major social services programs including TANF, Medicaid, Food Stamps and child welfare. County and social services managers used the results in budget planning and program evaluation.
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