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Enrollment in Obamacare’s health insurance exchanges has proven to be a somewhat difficult process amidst technical glitches and delays. Aside from the issues associated with actually purchasing health care, once an individual gets a quote for health insurance on an exchange, is the premium higher or lower than before?
Our research finds that for many states, the insurance on health exchanges will cost more than existing insurance. This study illustrates that the general experience for individuals shopping on the exchange is that of increasing premiums from what was available to them prior to implementation of the exchanges. Many families and individuals will face this reality as they apply for coverage, and the implications of experiencing sticker shock are important to consider if enough people choose not to sign up for coverage for various reasons.
The Heritage Health Insurance Microsimulation Model (HHIMM), in concordance with insurer data compiled by Mark Farrah and Associates, is used to create a snapshot of what it looks like to shop for insurance prior to exchange implementation. This data is used to build weighted average premiums within the rating areas, similar to the process described in the most recent release from the Department of Health and Human Services (HHS).
First, we use expected age distribution in the individual market from the HHIMM. Next, we use census data for the county populations in order to scale up to the state level, creating something that is roughly comparable to the weighted averages presented by HHS. This comparison is different from others in that, rather than comparing specific plans, it is designed to capture the difference in premium levels between the exchange and what could be acquired in the market.
This paper is meant to provide a necessary segue to HHS’s data summary, creating an apples-to-apples comparison of exchange data to what the costs are for individuals. Effectively, we have used the same methods that were employed to provide summary data on the exchange markets to prior insurance data in order to get the closest comparison.
Some state-based exchanges have data releases that are more limited than the 36 federal exchanges. For state exchanges, some premiums must be estimated. As is the case with all studies built to address the changes in exchange premiums, it is important to note that when more data becomes available, results could vary slightly.
This study considers the data as released by HHS. States with little data released are omitted from this study.
Individuals in most states will end up spending more on the exchanges. It is true that in some states, the experience could be the opposite. This is because those states had already over-regulated insurance markets that led to sharply higher premiums through adverse selection, as is the case of New York. Many states, however, double or nearly triple premiums for young adults. Arizona, Arkansas, Georgia, Kansas, and Vermont see some of the largest increases in premiums.
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