Address correspondence to John Robst, Ph.D., Department of Mental Health Law and Policy, Louis de la Parte Florida Mental Health Institute, University of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL 33612.
Estimation of a Hedonic Pricing Model for Medigap Insurance
Article first published online: 6 JUL 2006
Health Services Research
Volume 41, Issue 6, pages 2097–2113, December 2006
How to Cite
Robst, J. (2006), Estimation of a Hedonic Pricing Model for Medigap Insurance. Health Services Research, 41: 2097–2113. doi: 10.1111/j.1475-6773.2006.00591.x
- Issue published online: 6 JUL 2006
- Article first published online: 6 JUL 2006
- Medicare supplemental insurance;
- hedonic pricing models
Objective. This paper uses a unique database to examine premiums paid by beneficiaries for Medigap supplemental coverage. Average premiums charged by insurers are reported, as well as premiums by enrollee age and gender, and additional policy characteristics. Marginal prices for Medigap benefits are estimated using hedonic price regressions. In addition, the paper considers how additional policy characteristics and geographic differences in the use and cost of medical care affect premiums.
Data Sources/Study Setting. A comprehensive database on premiums paid by beneficiaries for newly issued Medigap policies in the year 2000 along with state-level characteristics.
Study Design. Hedonic pricing equations are used to estimate implicit prices for Medigap benefits.
Data Collection/Extraction Methods. The Centers for Medicare & Medicaid Services contracted for the creation of a detailed database on Medigap premiums. Data were collected in three stages. First, letters were sent directly to insurers requesting premium data. Second, letters were directly to state insurance commissioner's offices requesting premium data. Last, each state insurance commissioner's office was visited to collect missing data.
Principal Findings. With the exceptions of the part B deductible and drug benefit, Medigap supplemental insurance is priced consistent with the actuarial value of benefits offered under the standardized plans. Premiums vary substantially based on rating method, whether the policy is guaranteed issue, Medigap Select, or explicitly for smokers. Premiums increase with enrollee age, but do not vary between men and women. The relationship between premiums and enrollee age varies across rating methods. Attained-age policies show the strongest relationship between age and premiums, while community-rated premiums, by definition, do not vary with age. Medigap supplemental insurance premiums are higher in states with poorer health, greater utilization, and greater managed care penetration.
Conclusions. Despite the high cost, Medigap plans are generally priced in accordance with the actuarial value of benefits. The primary exception is the drug benefit, which appears to be subject to substantial adverse selection. Benefits such as the part B deductible and at-home recovery benefit offer little value to consumers. Several states require insurers to community rate premiums. Such regulation has important implications for premiums, and research needs to consider the impact of such regulation on the Medigap market.