Long-Term Implications of the Revenue Transfer Methodology in the Affordable Care Act
Ishan Muzumdar, Donald Richards

TL;DR
This paper analyzes the long-term effects of the revenue transfer system in the ACA, revealing persistent payer-receiver states and transition probabilities through statistical and Markov models.
Contribution
It introduces a Markov transition model to study insurance plan states and provides empirical estimates of long-term payer-receiver dynamics in ACA revenue transfers.
Findings
55.6% chance of plans paying into the pool if they did in 2014
Plans tend to stay in the same state for about 4.87 or 3.89 years
Transition probabilities stabilize quickly over time
Abstract
The Affordable Care Act introduced a revenue transfer formula that requires insurance plans with generally healthier enrollees to pay funds into a revenue transfer pool for to reimburse plans with generally less healthy enrollees. For a given plan, the issue arises of whether the plan will be a payer into or a receiver from the pool in a chosen future year. To examine that issue, we analyze data from The Actuary Magazine on transfer payments for 2014-2015, and we infer strong evidence of a statistical relationship between year-to-year transfer payments. We also apply to the data a Markov transition model to study annual changes in the payer-receiver statuses of insurance plans. We estimate that the limiting conditional probability that an insurance plan will pay into the pool, given that the plan had paid into the pool in 2014, is 55.6 percent. Further, that limiting probability is…
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