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The ACA's tragic coverage gap confronts poor people in the 12 states that have refused to date to enact the ACA Medicaid expansion with a cruel logical absurdity: they may earn too little to qualify for government-supported health coverage. Adults in households with incomes below the Federal Poverty Level (100% FPL) do not qualify for subsidized coverage in the ACA marketplace.
A few weeks ago, I noted that on May 5 CMS put a modest patch on the coverage gap by rescinding a Trump era policy of demanding income verification from marketplace applicants in nonexpansion states if "trusted data sources" indicated that the applicant's income was likely below 100% FPL -- i.e., ineligible for subsidies -- and the applicant had estimated an income above that threshold. (Since HHS's computer systems can't be retooled instantly, CMS explained, the exchanges will continue to request documentation in these circumstances for some time -- but in followup communication, they will "notify those consumers that they need not provide the requested information.")
In effect, a low-income applicant can make a good faith estimate of a household income in the coming year above 100% FPL and qualify for subsidized coverage (now free through 2022, if income is below 150% FPL, thanks to the subsidy boosts in the American Rescue Plan enacted on March 11). Documentation will not be required (though awkwardly, it will be requested for some time). If income for the year in question ultimately proves to fall below the 100% FPL threshold, there is no clawback of subsidies granted, unless the applicant's income estimate is made with "intentional or reckless disregard for the facts."*
The opportunity for low-income applicants to estimate their way into free coverage is the sort of regulatory forbearance that inspires high moral dudgeon from conservative adversaries of the ACA. In fact, though, poor or near-poor people in nonexpansion states who get as far as applying for health coverage - many don't, as ignorance of ACA programs is pervasive -- are likelier to underestimate their income than overestimate it.