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Fragile Families Summer Data Workshop 2004

Fragile Families Summer Data Workshop 2004. Public Policies: Welfare, Child Support Enforcement and Housing Marah A. Curtis. Research Questions and Fragile Families Data. The effects of public policy and personal characteristics on child visitation among unmarried parents

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Fragile Families Summer Data Workshop 2004

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  1. Fragile Families Summer Data Workshop 2004 Public Policies: Welfare, Child Support Enforcement and Housing Marah A. Curtis

  2. Research Questions and Fragile Families Data • The effects of public policy and personal characteristics on child visitation among unmarried parents • The effects of sanctioning on the well-being of mothers and their children • The impact of benefit levels and local area economic conditions on the living arrangements of parents

  3. Welfare Measures in FF • TANF/FS receipt combined in baseline • TANF and FS receipt measurable separately at one year and three year • Benefit reductions due to non-compliance with requirements measurable at one year and three year • Earned Income Tax Credit

  4. Hardship/Program Participation Measures • FF one year and three year data include questions about hardships due to lack of money • Hunger, eviction, inability to pay utility bills, unable to get medical care, move into a shelter • Respondents are asked about receipt of Medicaid, child care vouchers, Head Start, WIC

  5. Housing in FF • Measures for: renting alone, renting with others, live with family (no rent), own a home, shelter, halfway house – facility • Residence in a public housing project, vouchers, section 8 • Monthly mortgage payments and rent payments

  6. External Policy Measures • External measures appended to Fragile Families data by State or City • Unemployment rate, TANF/FS maximum guarantee for a family of three, child support enforcement, FMR • External measures created using Census data: sex ratios, housing costs

  7. Technical Issues • Find external data source: Census, CPS, Green Book, OCSE • Create measure in external data source • Place in Excel spreadsheet and save as csv.doc • Read csv.doc into a stata data file using insheet • Be sure an indicator for city or state exists, defined in exactly the same way, in both data. • Merge external policy data into FF dataset

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