CHIP Expansions to Higher-Income Children in Three States: Profiles of Eligibility and Insurance Coverage

Summarizes findings on how changes in eligibility rules for children's public health insurance programs affected 2002-09 coverage rates and the number of uninsured children in Illinois, Pennsylvania, and Washington. Compares results by scope of reform

Evidence Use in New York City Public Health Policymaking

New York City Mayor Michael R. Bloomberg has attracted national attention for his public health policy reforms. The policy process behind the reform program has received less scrutiny, especially the use of research by policymakers. We show that the process used to develop, promote, and evaluate polices is heavily based on five types of data and research. New York Department of Health and Mental Hygiene staff conducted in-depth appraisals of existing published research, used local health surveys and private laboratory surveillance data, engaged in “shoe-leather” field research, formed research collaborations within and outside government, and disseminated research to legitimize policy changes. The findings are based on 27 semi-structured key-informant interviews with individuals from a range of organizations engaged in implementing or influencing public health policies in New York City

Take-Up of Public Insurance and Crowd-out of Private Insurance Under Recent CHIP Expansions to Higher Income Children

We analyze the effects of states’ expansions of CHIP eligibility to children in higher income families during 2002-2009 on take-up of public coverage, crowd-out of private coverage, and rates of uninsurance. Our results indicate these expansions were associated with limited uptake of public coverage and only a two percentage point reduction in the uninsurance rate among these children. Because not all of the take-up of public insurance among eligible children is accounted for by children who transfer from being uninsured to having public insurance, our results suggest that there may be some crowd-out of private insurance coverage; the upper bound crowd-out rate we calculate is 46 percent.

The Impact of Maternity Length-of-Stay Mandates on the Labor Market and Insurance Coverage

To understand the effects of insurance regulation on the labor market and insurance coverage, this study uses a difference-in-difference-in-differences analysis to compare five states that passed minimum maternity length-of-stay laws with states that waited until after a federal law was passed. On average, we do not find statistically significant effects on labor market outcomes such as hours of work and wages. However, we find that employees of small firms in states with maternity length-of-stay mandates experienced a 6.2-percentage-point decline in the likelihood of having employer-sponsored insurance. Implementation of federal health reform that requires minimum benefit standards should consider the implications for firms of differing sizes