Child Health and Access to Medical Care

This article reviews studies that explore the relationship between access to medical care and children's health. The authors find that, on the whole, policies to improve access indeed improve children's health, with the caveat that context plays a big role. Focusing on studies that can plausibly show a causal effect between policies to increase access and better health for children, and starting from an economic framework, they consider both the demand for and supply of health care. On the demand side, they examine what happens when the government expands public insurance programs (such as Medicaid), or when parents are offered financial incentives to take their children to preventive appointments. On the supply side, they look at what happens when public insurance programs increase the payments they offer to health care providers, or when health care providers are placed directly in schools where children spend their days. They also examine how the Affordable Care Act is likely to affect children's access to medical care

Unwed Mothers‘ Private Safety Nets and Children‘s Socioemotional Wellbeing

Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 1,162) and the National Evaluation of Welfare-to-Work Strategies (N = 1,308), we estimate associations between material and instrumental support available to unwed, low-income mothers and young children‘s socioemotional wellbeing. In multivariate OLS models, we find mothers‘ available support is negatively associated with children‘s behavior problems and positively associated with prosocial behavior in both datasets; associations between available support and children‘s internalizing and prosocial behaviors attenuate but remain robust in residualized change models. Overall, results support the hypothesis that the availability of a private safety net is positively associated with children‘s socioemotional adjustment.

The Effect of Public Insurance Coverage for Childless Adults on Labor Supply

This study provides plausibly causal estimates of the effect of public insurance coverage on the employment of nonelderly, nondisabled adults without dependent children (“childless adults”). We use regression discontinuity and propensity score matching difference-in-differences methods to take advantage of the sudden imposition of an enrollment cap, comparing the labor supply of enrollees to eligible applicants on a waitlist. We find that enrollment into public insurance leads to sizable and statistically meaningful reductions in employment up to at least nine quarters later, with an estimated size of 2–10 percentage points, depending on the model used

The Effect of Public Insurance Coverage for Childless Adults on Labor Supply

This study provides plausibly causal estimates of the effect of public insurance coverage on the employment of non-elderly, nondisabled adults without dependent children (“childless adults”). We take advantage of the sudden imposition of an enrollment cap in Wisconsin, comparing the labor supply of enrollees to eligible applicants placed on a waitlist using a regression discontinuity design and difference-in-differences methods. We find enrollment into public insurance leads to sizable and statistically meaningful reductions in employment, with an estimated effect size of just over 5 percentage points, a 12 percent decline. Confidence intervals rule out positive and large negative effects. (JEL G22, H75, I13, I18, I38, J22) </jats:p

Estimates of Crowd-Out from a Public Health Insurance Expansion Using Administrative Data

We use a combination of administrative and survey data to estimate the fraction of individuals newly enrolled in public health coverage (Wisconsin’s combined Medicaid and CHIP program) that had access to private, employer-sponsored health insurance at the time of their enrollment and the fraction that dropped this coverage. We estimate that after expansion of eligibility for public coverage, approximately 20% of new enrollees had access to private health insurance at the time of enrollment and that only 8% dropped this coverage (with the remaining 12% having both private and public coverage). We also identify an “upper bound” estimate, which suggests that the percentage of new enrollees with private insurance coverage at the time of enrollment is, at most, 27%. These estimates of crowd-out are relatively low compared with estimates from the literature based on Medicaid and CHIP expansions, although based both on different data and on a different method.

What were the information voids? A qualitative analysis of questions asked by Dear Pandemic readers between august 2020-august 2021

In the current infodemic, how individuals receive information (channel), who it is coming from (source), and how it is framed can have an important effect on COVID-19 related mitigation behaviors. In light of these challenges presented by the infodemic, Dear Pandemic (DP) was created to directly address persistent questions related to COVID-19 and other health topics in the online environment. This is a qualitative analysis of 3806 questions that were submitted by DP readers to a question box on the Dear Pandemic website between August 30, 2020 and August 29, 2021. Analyses resulted in four themes: the need for clarification of other sources; lack of trust in information; recognition of possible misinformation; and questions on personal decision-making. Each theme reflects an unmet informational need of Dear Pandemic readers, which may be reflective of the broader informational gaps in our science communication efforts.This study highlights the role of an ad hoc risk communication platform in the current environment and uses questions submitted to the Dear Pandemic question box to identify informational needs of DP readers over the course of the COVID-19 pandemic. These findings may help clarify how organizations addressing health misinformation in the digital space can contribute to timely, responsive science communication and improve future communication efforts

What Were the Information Voids? A Qualitative Analysis of Questions Asked by Dear Pandemic Readers between August 2020-August 2021

In the current infodemic, how individuals receive information (channel), who it is coming from (source), and how it is framed can have an important effect on COVID-19 related mitigation behaviors. In light of these challenges presented by the infodemic, Dear Pandemic (DP) was created to directly address persistent questions related to COVID-19 and other health topics in the online environment. This is a qualitative analysis of 3806 questions that were submitted by DP readers to a question box on the Dear Pandemic website between August 30, 2020 and August 29, 2021. Analyses resulted in four themes: the need for clarification of other sources; lack of trust in information; recognition of possible misinformation; and questions on personal decision-making. Each theme reflects an unmet informational need of Dear Pandemic readers, which may be reflective of the broader informational gaps in our science communication efforts. This study highlights the role of an ad hoc risk communication platform in the current environment and uses questions submitted to the Dear Pandemic question box to identify informational needs of DP readers over the course of the COVID-19 pandemic. These findings may help clarify how organizations addressing health misinformation in the digital space can contribute to timely, responsive science communication and improve future communication efforts

The Effect of Public Insurance on the Labor Supply of Childless Adults

This study will assess the effect of public health insurance coverage on the labor supply of low-income childless adults. It will use high-quality administrative data from the State of Wisconsin and a quasi-experimental design to obtain plausibly causal estimates of this effect. Specifically, it will exploit the sudden imposition of an enrollment cap to compare the labor supply of enrollees with applicants placed on a waitlist. The results of the study will be of interest to policymakers as they plan for the major expansions in public insurance coverage of childless adults expected under the Affordable Care Act