To illustrate the impact of moral hazard for estimating relative rates of underinsurance and to present an adjustment method to correct for this source of bias.
Data Sources/Study Setting
Secondary data from the 2005 Medical Expenditure Panel Survey (MEPS) are used in this study. We restrict attention to households that report having employer‐sponsored insurance (ESI) for all members during the entire 2005 calendar year.
Individuals or households are often classified as underinsured if out‐of‐pocket spending on medical care relative to income exceeds some threshold. In this paper, we show that, without adjustment, this common threshold measure of underinsurance will underestimate the number with low levels of insurance coverage due to moral hazard. We propose an adjustment method and apply it to the specific case of estimating the difference in rates of underinsurance among small‐ versus large‐firm workers with full‐year ESI.
Data Collection/Extraction
Data were abstracted from the MEPS website. All analyses were performed in 9.2.
Applying the adjustment, we find that the underinsurance rate of small‐firm households increases by approximately 20 percent with the adjustment for moral hazard and the difference in underinsurance rates between large‐firm and small‐firm households widens substantially.
Adjusting for moral hazard makes a sizeable difference in the estimated prevalence of underinsurance using a threshold measure.