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Curated

ABC News/USA Today/KFF Poll, September 2006 (ICPSR 4666)

Released/updated on: 2007-10-30
Geographic coverage: United States
This poll, conducted September 7-12, 2006, is part of a continuing series of monthly polls that solicit public opinion on various political and social issues. Respondents were asked which issues would be most important in their vote for Congress later that year, which party they trusted more to handle health care issues, how satisfactory the quality and total cost of health care was, and whether or not the number of Americans without insurance was a critical problem. Information was collected on the status of the respondents' own health insurance, including whether they were insured or not, what type of insurance they had, and how long they had been uninsured. Views were sought on whether health care premiums had been rising, why they were rising, how it had affected their household, and how job loss would affect the status and cost of health insurance. A series of questions asked whether new treatments should always be covered, whether efforts should go toward reducing health care costs or reducing the number of Americans without insurance, and whether there should be a universal health insurance program. The respondents rated the effectiveness of the current health insurance system, and they were asked under what conditions a universal health insurance program would be supported. They were also asked their opinions on whether or not employers should be obligated to provide coverage, and whether tax breaks should be offered to companies. Additional topics addressed terminally ill patients and the expense of keeping them alive. Demographic variables include sex, age, race, education level, household income, political party affiliation, political philosophy, employment status, and marital status.
Curated

Behavioral Interventions to Advance Self-Sufficiency (BIAS) Project, United States, 2014-2015 (ICPSR 38319)

Released/updated on: 2022-05-19
Geographic coverage: New York City, Indiana, United States, Oklahoma, Ohio, Los Angeles
Time period: 2014-01-01--2015-01-01

The Behavioral Interventions to Advance Self-Sufficiency (BIAS) project is an opportunity to use a behavioral economics lens to examine programs that serve poor and vulnerable families in the United States. Sponsored by the Office of Planning, Research and Evaluation (OPRE) of the Administration for Children and Families (ACF) in the U.S. Department of Health and Human Services and led by MDRC, the project applies behavioral insights to issues related to the operations, implementation, and efficacy of social service programs and policies. The goal is to learn how tools from behavioral science can be used to deliver programs more effectively and, ultimately, improve the well-being of low-income children, adults, and families.

Curated

New Hope Project: Income and Employment Effects on Children and Families, 1994-2003 [Restricted Use] (ICPSR 30282)

Released/updated on: 2013-04-03
Geographic coverage: Milwaukee, United States, Wisconsin
Time period: 1994-08-01--2003-01-01
The New Hope Project gathered information on respondents over eight years using several data sources. This collection consists of three datasets: (1) Adults, (2) Child and Family Study (CFS) Parents, and (3) Youth. Information was collected on respondent's employment history, job characteristics and security, other sources of income, feelings about respondent's financial situation, material hardship, respondent's access to health care, as well as experiences with the New Hope program. Furthermore, families with at least one child between the ages of 1 and 10 at initial random assignment were selected for the Child and Family Study (CFS). The CFS independently surveyed parents/primary caregivers and up to two focal children when applicable, and collected information about the parents' and the child's well-being. Additionally, teachers of school-aged children were mailed surveys and asked to rate the child's performance and behavior. Demographic variables include age, gender, race, nationality, citizenship, educational attainment, employment status, income, marital status, parent-child relations, and household composition.
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