Final Report July 2004 Prepared for: U.S. Department of Health and Human Services Assistant Secretary for Planning and Evaluation Prepared by: The Lewin Group and its subcontractor The Nelson A. Rockefeller Institute of Government Contract No.: 282-98-0016; Task Order 34
Contents Data Sets Identified and Criteria for Assessment Primary Data Sources for Holdings of Low-Resource Households' Assets Survey of Income and Program Participation Panel Study of Income Dynamics Survey of Consumer Finances Means for Improving Asset Data General Means for Improving Asset Data
Contents Background and Methods Findings: Data Availability and Gaps, By Policy Area and Population Groups Findings: Strategies and Current/Planned Initiatives for Improving AI/AN/NA Data Availability Summary and Conclusions Background and Methods
Contents The Rural Context Review of Existing Research on the Three Focal Topics Data Sources Available to Conduct Research on the Focal Topics Implications of Study Findings Enhancing Rural Human Services Information
Content The Study What We Found Endnote
Content The Value of Hardship Measures Defining and Measuring Hardship Material Hardship Indexes Measuring Hardship Using the SIPP Unanswered Questions for Future Research
BACKGROUND AND OBJECTIVES
The brief summarizes findings from the Census Bureau’s Supplemental Poverty Measure report for 2013. The brief highlights SPM levels for the most recent year, changes from the previous year and historical trends. SPM estimates are compared to estimates of the official poverty measure. The brief also presents the anti-poverty effects of select s
This study explores the extent to which states collect data on housing status and homelessness from applicants for the two largest HHS mainstream programs that may serve individuals or families experiencing homelessness: Medicaid and Temporary Assistance for Needy Families (TANF). Interviews were conducted with TANF and Medicaid directors in all
This report identifies three data sets as the most reliable and informative data sources for understanding low-income households' assets and liabilities: the Survey of Consumer Finances (SCF), the Survey of Income and Program Participation (SIPP), and the Panel Study of Income Dynamics (PSID). The report also details the limitations of these data
This report provides information about State child support enforcement offices experiences with data warehouses; that is, how they are used to help manage program operations, assess program effectiveness and efficiency, and inform policy development. This report summarizes findings from discussions with staff in nine states about the development,
This report identifies gaps in AI/AN/NA data on health and well-being, strategies for improving AI/AN/NA data availability and quality, and some current initiatives underway within HHS and other federal agencies that are intended to improve these data.
This data catalog is a compilation of existing data sources pertaining to American Indian/Alaska Native/Native American (AI/AN/NA) populations. In the first component of this project, the contractor has identified existing sources of socioeconomic and health data using national and some state-level surveys. Information on 68 data sources including
This study of Maryland's Temporary Assistance to Needy Families (TANF) caseload was undertaken to provide policy makers and program managers with empirical data on the characteristics, circumstances, and prospects of the adults and children who currently receive cash assistance. As caseloads have declined across the country, most research and poli
Based on the summary report, Survey Design for TANF Caseload Project, Summary Report and Recommendations, that reviews existing survey questions and scales focused on potential barriers to employment among TANF recipients, ASPE finalized this survey instrument, the TANF Caseload Survey, for use in the six state studies.
This project, which resulted in both a key highlights issue brief and a full report, examines how a state's ability to fund social welfare programs affects its state spending choices on programs to support low-income populations. The project includes a two-part study of state spending on social services. The first part uses existing data sources t