Suchergebnisse

AbstractAdverse selection in insurance markets may lead some consumers to underinsure or too few consumers to purchase insurance relative to the socially optimal level. I study whether common government policy interventions can mitigate both underinsurance and underenrollment due to adverse selection. I establish conditions under which there exists a tradeoff in addressing underinsurance and underenrollment. I then estimate a model of the California ACA insurance exchange using consumer‐level data to quantify the welfare impact of risk adjustment and the individual mandate. I find (1) risk adjustment reduces underinsurance, but reduces enrollment and (2) the mandate increases enrollment, but increases underinsurance.

This report summarizes analysis in which the COMPARE microsimulation model was used to estimate how several potential changes to the Affordable Care Act, including eliminating the individual mandate and eliminating the law's tax-credit subsidies, might affect 2015 individual market premiums and overall insurance coverage. The report also presents estimate how changes in young adult enrollment might affect 2015 individual market premiums

This report describes a comparative analysis of three proposals to allow Americans to keep their existing health plans under the Affordable Care Act (ACA). The proposals are evaluated based on their potential impact on the ACA-compliant market and the cost and coverage of health insurance. The possibility of each proposal causing a "death spiral" in the ACA-compliant market is also addressed

Evaluates and compares three proposals to address the recent cancellation of millions of Americans' health plans under the minimum coverage requirements of the Affordable Care Act.

In this report, the authors estimate the effects of the Affordable Care Act on health insurance enrollment and premiums for ten states (Florida, Kansas, Louisiana, Minnesota, New Mexico, North Dakota, Ohio, Pennsylvania, South Carolina, and Texas) and for the nation overall, with a focus on outcomes in the nongroup and small group markets

Navy analysts are struggling to keep pace with the growing flood of data collected by intelligence, surveillance, and reconnaissance sensors. This challenge is sure to intensify as the Navy continues to field new and additional sensors. The authors explore options for solving the Navy's "big data" challenge, considering changes across four dimensions: people, tools and technology, data and data architectures, and demand and demand management