Tag Archives: Actuarial Value Calculator

Obama administration increases insurer subsidies

The Obama administration announced earlier today that it would increase the  rate of subsidy provided insurers under the transitional reinsurance program established by the Affordable Care Act.  This program, in effect for the policies sold in 2014, 2015, and 2016 on one of the individual insurance exchanges fostered by the ACA,  provides free specific stop loss reinsurance to insurers, something insurers would otherwise have to pay a lot of money to obtain.  The Center for Medicare and Medicaid Services  (CMS) announced today that instead of taxpayers giving insurers  80% of the losses on any individual for their claims between $45,000 and $250,000, it would now pay a full 100% of these losses.

The higher rate of reinsurance should not be interpreted as a sign that claims were lower than insurers expected — something that would run contrary to many of the recent insurer rate hike filings or the losses reported by many insurers.  It is not a sign of the success of Obamacare; rather it is an artifact of its problems.  If, for example, there were 14% fewer people enrolled in Obamacare than at the time the reinsurance rates were initially determined (7 million vs. 6 million), reinsurance payments could be, as here, yet more generous to insurers even if claims were 10% higher than originally projected.

There are several implications of today’s announcement.  First, it means that, on a percentage basis, the ACA is subsidizing exchange insurers for 2014 even more than regulations enacted under it had heretofore prescribed.  Since this same money paid to insurers could instead have been used to provide greater subsidies to poorer and middle class individuals trying to purchase health insurance, the candy distributed today to insurers is a bit troubling. Second, because CMS says it will actually have money left over from 2014 even after the increase in reinsurance rates,  and because enrollment in Obamacare remains considerably lower than was estimated at the time of its enactment, there is an increased likelihood of reinsurance payments to insurers being higher than originally authorized in 2015.

We can get some sense of the magnitude of the changes announced today.  To do so, I use data embedded in the Actuarial Value Calculator, a document produced by CMS for the purposes of figuring out whether various insurance plans met the standards for bronze, silver, gold and platinum policies.  For an average silver policy, for example, the reinsurance that would have been provided prior to today would have been expected to save insurers about 11% in expenses, and, quite likely, premiums.  With the new reinsurance parameters, the transitional reinsurance program will save insurers selling the same silver policies about 14%.

We can do the same exercise for platinum, gold and bronze policies.  The results are not much different.  The table below shows the results.

Metal Level Original subsidy New subsidy
Bronze 11% 13%
Silver 11% 14%
Gold 11% 13%
Platinum 10% 12%

Two foootnotes

1. This is actually the second time CMS has made the transitional reinsurance program for 2014 more generous.  Originally, the reinsurance would “attach” at $60,000.  If an individual’s claims were below that amount, no reinsurance would kick in. Leter, CMS changed the attachment point to $45,000.

2.  How could I do this computation so swiftly?  I’ve been preparing for testimony before the House Ways and Means Committee on, among other things, the effect of the transitional reinsurance program on insurer rate changes and I’ve been working on a talk on a similar topic for the R in Insurance Conference later this month.  So, all I had to do was plug the new parameters into my model, and out came the results. Be prepared.

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The Cons of the ACA

Recently, I was honored to speak before the PIAA, a group of insurance professionals, at the organization’s annual conference in Las Vegas.  The idea was that I would speak on the problems with the ACA and Ardis Hoven, M.D., past president of the the AMA, would speak on positives about the ACA.  I thought the format worked well and I appreciated the high level of discussion and civility of Dr. Hoven.

Here’s what I had to say. Since you can’t use footnotes or hyperlinks in a speech, I’ve provided a few additional annotations here to show the source of some of the information.

The Speech

I’m here to talk about the architecture of the ACA and its problems.

The ACA takes a bold risk.  It places our economy and our health on an metaphorical aircraft whose ability to fly is challenged by history. It proceeds on the assumption that, whereas almost all community rating systems in health insurance have crashed in ugly adverse selection death spirals, the craft engineered by the Obama administration and its consultants is so sophisticated that it will avoid such a fate.  Many will tout what they see as the success of the ACA thus far in reducing the number of uninsured and the absence of many catastrophic failures as evidence that the ACA flies.  But we have not seen turbulence. It is an open question whether, long term, the ACA can survive in its present form.

Let us now talk about how the ACA flies.  It uses a variety of mechanisms to keep it aloft.  The problem is that almost every one of them has the potential for being undermined.

Individual Subsidies

The ACA depends desperately and in perpetuity on taxpayer funded policy subsidies provided directly to the insured. There is a premium subsidy based on household income. And there is another effective premium subsidy achieved through what is termed a “cost sharing reduction program” but this really amounts to people getting gold, platinum or diamond — my term — policies but only having to pay the silver price.  These subsidies have been crucial to the touted success of the ACA.  They have brought low risk individuals into the pool. Without the subsidies, the insurance market would need to depend solely on risk aversion to achieve price stability and escape the death spiral.  Prior experiments relying only on risk aversion alone have been notoriously unsuccessful.

For better or worse, the subsidy has had an immense effect. A recent study conducting by Avalere shows that 83% of Exchange enrollees have incomes at 250% or less of the federal poverty level for their households. The take up rate among those eligible for ACA exchange policies falls from 76% for those earning 100-150% of FPL down to just 16% for those earning 300-400% of FPL. Take up then plummets to 2% for those earning more than 400% of FPL and who are thus ineligible for subsidies.

This elasticity in the demand for health insurance is precisely why the forthcoming Supreme Court decision in King v. Burwell is of such great importance.  If the Supreme Court issues a square holding that the federal government lacks authority to pay the premiums where the state itself has not directly established an Exchange, and neither Congress nor the states does anything to fix the matter, expect insurers in those states rapidly to stop offering individual health insurance on the Exchanges. Indeed, clause IVB in the contracts those insurers negotiated with the federal government precisely in anticipation of King v. Burwell would permit those insurers not just to exit the market next year but to cancel existing policies midstream.

A side point, but one that might trouble this audience.  Every insurer that I know of is accepting payments from the federal government for cost sharing reductions.   But those payments are almost certainly illegal. Congress never appropriated any money for Cost Sharing Reductions.  So, under the law as written, insurers who want to play in the Exchanges are really supposed pay for cost sharing reductions themselves.

Of course, to my knowledge, that’s not happening. The money now landing in insurer’s bank accounts is coming from a fund set up for tax refunds that is, by law, dedicated exclusively to that purpose.  That, I believe is unlawful and, should another party ever control the Executive branch and want to look for a villain or want to extort various favors from someone whom they have over a barrel, might it not chase insurers for receipt of diverted funds?  There is a 1938 Supreme Court decision saying the Government can recover funds paid illegally and a 1990 Supreme Court decision saying that a claim of estoppel can not lie against the federal government.   So, before insurers become accessories or before they count as money on their balance sheets that they might have to pay back, they might want to look at these cases.

Reinsurance subsidies

There are also less visible features of the ACA that are designed to improve the probability of the airplane staying aloft. The ability of the ACA to fly also depends substantially for 2014, 2015 and 2016 on premiums subsidized by free specific stop loss reinsurance given to insurers who agree to risk their capital in untested Exchange markets.  It is, however, a form of support that is going to flame out after 2016.

How much support does it provide? If you use the data from the 2016 draft actuarial value calculator produced by CMS, you can compute that the subsidy will still be about 3% of premiums for 2016.  It was higher in 2014 and 2015. How will the ACA continue when prices increase at least 3% more just due to the elimination of this single subsidy.  The naive might think that 3% is not all that much.  And, without taking adverse selection into account, I would expect the market to shrink only by about an equal percentage.  But if history and economics tells us anything — and it does — because of adverse selection, the actual price increase will be greater and the resulting decline in enrollment will be greater.

I would not expect Congress to do any sort of mid-flight refueling of reinsurance subsidies, to continue my airplane metaphor. The policy justification for specific reinsurance subsidies seems rather thin.  If reducing the overall risk to insurers was the issue, aggregate stop loss, perhaps available at an actuarially fair price, rather than free specific stop loss reinsurance would make more sense.  And if the government, and, derivatively, the insurance industry, was fearful of there being no market for reinsurance where the risk involved was so untested, Congress could have made a guess and established a fair price and reinsurance facility itself. Moreover, if uncoupling household income from the ability to obtain medical care was a primary goal of the ACA,  why would Congress not just increase individual premium subsidies instead of sending that money to enrich, sorry guys, insurance companies?  This form of corporate welfare helps people at 350% of federal poverty level or even people at 1000% of FPL buying unsubsidized policies on the Exchange as much as it helps the person earning 150% of FPL who might desperately need more assistance. If one accepts major premises of the ACA, one might seriously question why such is the case.

Risk Corridors: The Free Derivative

The ACA depends somewhat for 2014, 2015 and 2016 on another form of subsidies for the insurance industry.  It indirectly subsidizes premiums by providing insurers with a free financial derivative: risk corridors that reduce the amount of capital prudent insurers might otherwise need to stockpile or aggressive state regulators might require them to stockpile. This reduction occurs because Risk Corridors reduces the probability of insurers losing substantial amounts of money via participation in the Exchanges. To use a finance term, Risk Corridors reduces Value at Risk, which is a decent estimate of the amount of money participating insurers need to keep in more liquid and probably less lucrative investments.

If you run the computations — ask me how — it looks as if Risk Corridors reduces the amount insurers need to charge for Exchange policies by a little less than 1%.  Again, you might say, in what I suspect would be a deprecating tone, big deal. And, I agree that, taken by itself, the ACA is unlikely to crash based on a 1% increase standing alone.  But it’s all cumulative and the problem with death spirals is that once you find yourself in their clutches they are a bit like a black hole, very difficult to escape.

Insurers may not have to wait until 2017 for Risk Corridors to disappear.  They are already in grave trouble.  Congress also never appropriated any money for Risk Corridors. And this wasn’t an accident. The statute, as written, depends on assessments on insurers based on a formula to magically equal payments out to insurers based on a formula over the 3-year span of the program.  We are already seeing, as many predicted, however that such an assumption was unwarranted.  Due perhaps to loss leader pricing and the predictable propensity of consumers to pick precisely those plans that were charging too little relative to actuarial risk, it appears that, on balance, at least after what I would hope would be clever but lawful accounting, that few insurers are making enough money under Obamacare policies to provide any funding to the many insurers who gained volume at the expense of profitability. So, when the Obama administration suggested it might lawlessly raid other government accounts to fund Risk Corridor deficits, Congress responded in section 227 of the Cromnibus bill by walling off the plump Medicare Parts A and B trust funds and CMS operating accounts as a source to repay obligations created by the Risk Corridor program.

Might deficits in early years of Risk Corridors be funded out of profits in later years as the Obama administration has suggested? The omens aren’t good. According to a review of 2014 industry filings by Standard & Poors, Risk Corridors will likely collect less than 10 percent of what industry is expecting to be reimbursed. 14% of insurers will likely pay into Risk Corridors.  56% expect money out. The absence of Risk Corridor money will be fatal to some insurers.

Already, we are seeing the death and near death of some less well capitalized insurers, particularly the co-ops capitalized, I might add, not so much by private investors but by $2.4 billion from the taxpayers in a less well publicized cost of Obamacare. Low premiums are not of terribly great value if they end up bankrupting private insurers on whom the success of Obamacare depends.

Individual Punishment

Thus far, I have spoken of the carrots to get even people of low risk to participate in the Exchange marketplaces.  Obamacare is fueled, however, not just by subsidies but by punishment. Obamacare chose a different punishment model than for programs such as Medicare Part B or Medigap.  In those programs, and in some Republican proposals for Obamacare reform, if you don’t select insurance when you are first eligible, you just pay a lot more for insurance if you elect coverage later.  No commerce clause problems, no tax. Obamacare, by contrast, increases administrative costs by potentially assessing  a penalty each year if you don’t have coverage. The ability of this punishment to stem a death spiral depends on the size of the punishment and the number of people who are subject to it.  And what I now wish to suggest is that even without its formal repeal, the Individual Mandate was weak to begin with and has been further enfeebled by administrative moves taken in response to political uproar.

Consider, for example, a slightly fictionalized version of one typical American. According to the Kaiser Foundation Calculator, a 45 year old non-smoking person making $48,000 per year would expect to pay $3,742 on average for a Silver Policy.  Suppose, however, that the individual considers themselves to be only 30 in health years. The individual thus considers its average expenses that would be covered by insurance to be $2,941.  Would the $746 difference in tax created by the mandate be sufficient to get that person to purchase an Exchange policy.  Not if that person was risk neutral.  $746 in tax is less than the $801 excess in medical expenses.

Alternatively, eliminate $3,000 from the person’s income. Now, because the premium the individual would have to pay is more than 8% of household income, the individual is exempt from the individual mandate. There are a significant number of uninsured people thus exempted from the mandate on grounds that they are simply too poor to purchase Obamacare.

But there’s more to make sure, as the CBO recently confirmed, that only one in six of the uninsured will actually be subject to the mandate.  There is the absurdly expanded hardship exemption. There’s the health sharing ministry exception mostly for evangelical Christians. And there’s the peculiar 3 months off exemption (26 USC § 5000A(e)(4)).

In short, one of the reasons Obamacare will have difficulty flying is that we are afraid of our inability accurately to determine whether people can really afford insurance and at what price.  For now, though, if one wants to rely on sticks, the stick is actually too weak and hits too few people.

The Employer Mandate

Another key component of the ACA has been the employer mandate.  Or, at least it was supposed to be a key component.  In fact, in what a lot of people, including me, think is a very dangerous precedent that will, one day, bite ACA proponents in the proverbial behind, the Obama administration simply decided, without any apparent discretion, to delay enforcement of the law for one year and, for the current year, to apply the statute only to employers with more than 100 employees, even though the number the statute picks is 50. If a change to the tax code is so complicated that it takes mid sized businesses with financial advisors 5 years to understand it, perhaps that’s a sign there is something more fundamentally wrong.

At any rate, the employer mandate is, for lack of a more sophisticated term, stupid. If it actually works, it keeps people off the individual exchanges, which is exactly what should not be happening. The employer mandate perpetuates both symbolically and literally the counterproductive tie between a poorly functioning and lumpy labor market and something as important as health.  It puts the employers’ decision as to what sort of coverage best suits the employee ahead of the ability of the individual to choose.  The tax deductibility of payments helps the wealthy more.  The lack of portability between jobs decreases the sort of continuity of care that might improve health. It is everything a good liberal should hate.  (Indeed, some have had the courage to note the many flaws with the current law.) And so I wonder if King v. Burwell comes out against the government, whether the employer mandate, which has barely made it on to the Obamacare Aircraft, might be abortively deplaned with eager Republicans and Democrats in need to save face actually coming together on this issue.  Indeed, if I were a Limbaugh-style Republican who wanted Obama to fail, I would actually insist on the employer mandate continuing as a way of starving the individual exchanges of healthy people who might stabilize their prices and of helping high income voters more.

Conclusion

One’s perspective on the ACA can’t be whether it helps insurers or whether it helps the medical profession.  In fact it shouldn’t even be on whether more people have health insurance.  The positive factor to be considered is whether it has improved health.  I will concede that, on balance, it probably has — slightly. Many medical interactions are beneficial and, although supply of medical practitioners has not increased much, there are 2-4% more such interactions thanks to the ACA.   In any event, whether the ACA marginally improves health is not the exclusive test.  These programs have to be paid for and they come at a heavy price.  The CBO now estimates the ACA will increase our budget deficit by $849 billion dollars through 2026. It is not, contrary to prior representations, paid for.

If you forget about Medicaid expansion and take the net increase the uninsured as a result of the ACA and divide that by the cost of providing coverage to them, it turns over 10 years to average with premium subsidies, cost sharing reductions, the 3Rs, and administrative costs about $7,600 per person.  And in addition to racking up our already bloated deficit, there will be be taxes, fees and subsidies that have their own perverse incentives. Some have estimated the cost of providing a currently uninsured person an additional year of a quality life at over $200,000 possibly over $1 million. That’s enough that we have to look hard at whether there might be some better and simpler alternatives.

As we move forward  ought to be looking not at Obamacare vs. The Bad Old Days Where Evil Insurers Deprived Sick People of Coverage but rather to a variety of alternatives ranging from, yes, Bernie Sanders Single Payer plan to, better,  libertarian plans to use market mechanisms more effectively  to perhaps better yet, lots in between.  Yes, Obamacare has gotten off into the air, but if they would honestly call “Mayday,” it is my hope that a variety of people would try to help out.

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The ACA’s transitional reinsurance tax: the numbers are funny again

Most sellers of health insurance in the United States outside of health insurance Exchanges will be forced to add $63 per member on to premiums for 2014 to cover a new tax imposed by the Affordable Care Act on the sale of such policies. That tax revenue coupled with $2 billion out of the federal treasury will go to subsidize individual policies sold on the federal Exchanges, probably lowering their gross premiums by about $525 per person.  If, however, enrollment in the federal Exchanges remains considerably lower than projected and enrollment in non-grandfathered, non-Exchange plans does not compensate for the reduction, the revenue collected from the tax is likely to be in excess of that which needs to be paid to support the statutory subsidies.  The $63 per member tax, which has precipitated considerable protest, thus might end up being overly high. And if the Executive branch can exercise its discretion to delay or waive taxes for one part of the ACA based on alleged new developments, why not for another?

The Center for Medicare & Medicaid Services (CMS)  has many options for addressing the surplus.  It might choose to to use the surplus tax revenue either to cut similar taxes in the subsequent years of the program or to rebate the excessive tax back to health plans and others who paid it. CMS might, I suppose, inflame people from both ends of the ideological spectrum by gifting insurers with more generous reinsurance this year.  Or CMS might simply squirrel the surplus away to provide reinsurance after the normal sunset of the program in 2016. I suspect, however, that  CMS is likely to use the surplus to increase the generosity of reinsurance provided in subsequent years of the program such as next year. Doing so could mask problems of adverse selection that could otherwise result in large premium increases. Such a choice would not  necessarily be a bad thing: it just highlights yet again the expense of the ACA, the fragility of attempts prior to its passage to model its effects, and the problems with thinking about its interlocking web of provisions in a linear, reductionist manner.

Here’s a more detailed explanation.

The Affordable Care Act subsidizes both insurance purchases made on the individual Exchanges and  individual policies still sold off the Exchange that conform with various ACA rules.  Doing so lowers the price of insurance and decreases the systematic risk associated with selling policies in a new regulatory environment in which the population of insureds may have different (and worse) health profiles than those previously composing the insurance pool.  A key way that the ACA does this is through a program of “transitional reinsurance” provided free of charge to insurers willing to write policies in the individual market — so long as those policies haven’t been exempted from the requirements of the ACA by being “grandfathered.” The program is “transitional” because it is supposed to end after three years. One way of thinking about all this is that free reinsurance lowers both the mean and the standard deviation of the net claims distribution faced by eligible insurers.

Under section 1341 of the ACA and the regulations CMS has developed to implement it, the transitional reinsurance program is ultimately supposed to break even. If tax revenues that fund it are less than the expenditures it requires, CMS has provided in 45 C.F.R. § 153.230(d) that reinsurance payments are cut in that year in order to prevent a deficit. If tax revenues that fund the transitional reinsurance program are greater than the expenditures it requires, CMS has stated in 45 C.F.R. § 153.235(b) that the surplus will be spent in subsequent years of the program on reinsurance benefits.  The program also works with a one year lag: money is collected and paid in each year is for claims made the preceding year.

The Center for Medicare and Medicaid Services has funded the transitional reinsurance program this year by levying (with the help of its IRS friends)  a $63 per insured life tax on most (but not all) health insurance policies sold in the United States this year. (The payments are deductible for for-profit enterprises). CMS says it is planning an exception to the tax for self-funded plans that are also self-administered, a rule that, as shown in the graphic below, CMS previously said (correctly) it lacked statutory authority to issue and that will significantly benefit labor unions. This tax revenue, coupled with a required $2 billion from the United States Treasury, is estimated to yield $12 billion to be paid in 2015 for claims arising in 2014.  CMS will use the the money to provide a form of stop-loss reinsurance that attaches at $45,000 of claims per member and that provides 80% reimbursement for claims up to $250,000. In earlier versions of the regulation, the attachment point was a less generous $60,000.

Comparison of regulations: March 11, 2013 v. October 30, 2013
Comparison of regulations: March 11, 2013 v. October 30, 2013

How would you spend $12 billion?  Well, using the “continuance tables” (statistical claims distributions) contained in CMS’s “Actuarial Value Calculator,” one can show that the expected payments under the reinsurance system created by CMS for 2014 will range from about $433 per member for a bronze plan up to about $597 for a platinum plan. The weighted average expected payment will be about  about $525. The enhanced size of this subsidy, rather than other miracles of Obamacare, may explain in part, by the way, why premiums on the Exchanges came in somewhat lower than some had projected. If CMS is planning on spending about $12 billion on transitional reinsurance and it spends $525 per insured person, simple division shows that it takes about 23 million people who might trigger the reinsurance obligation in order to exhaust the fund.

The problem, however, is that, given recent developments, there are unlikely to be 23 million persons in 2014  (a) who might trigger the reinsurance obligation (“reinsurance triggering”) and (b) who are insured by reinsurance-eligible insurers (“reinsurance eligible”). You could just take my word on this point and skip to the end of this entry or, better yet, follow the accounting done here.

An accounting

Let me concede, temporarily and for the sake of discussion, that there will be 6 million people on average in 2014 who are paying premiums based on policies purchased in the individual Exchanges.  That’s hard to believe given (a) that the number with a month to go is probably about 3.2 million (President Obama’s alleged 4 million enrollment reduced by 20% shrinkage for nonpayment); (b) that the number of insured in the Exchanges would have to be 7 million post March for there to have been 6 million on average during all of 2014; and (c) Vice President Joe Biden’s augury that 5 million would be a “heck of a start.”  I will grumpily concede it nonetheless.

How many off-Exchange purchasers should we then add?  Here the numbers are slippery too.  I am indebted, however, to some careful work by the Kaiser Family Foundation on this point.  You can read it here. The highest estimate I have seen for the number of nonelderely persons covered by  a plan purchased directly from an insurer at any one time in a calendar year is 19 million.  But many of these 19 million will (a) not have insurance the entire year; (b) will have insurance that is secondary to other insurance and thus unlikely to accumulate the $45,000 attachment point in claims; and (c) will be in grandfathered policies not eligible for reinsurance and persisting through 2014 only by dint of President Obama’s magic waiver of the terms of the ACA.  When one looks at the situation at any given point in time — which is the proper basis for figuring out an average — it looks as if there might be 13-14 million who have some form of individual health insurance and 10-11 million who have primary health insurance coverage of the sort that might trigger a reinsurance obligation.

So, should I add 11 million to the 6 million and say that there are 17 million insureds that might trigger a reinsurance obligation?  No! That would ignore two substitution effects.  We know from various studies that a lot (perhaps 65% – 89%) of the people purchasing policies on the Exchanges simply swapped non-Exchange policies that would not be eligible for the other big federal subsidy — premium tax credits — for Exchange policies.  So, even if we assume, contrary to the evidence, that only half of the Exchange purchasers came from the ranks of the uninsured, that means there are really only 3 million new purchasers of policies eligible for reinsurance. Moreover, the 10-11 million figure isn’t right anymore either.  For 2014, individual insurers have to choose. They can stop selling their policy altogether, they can expand benefits to conform with the tougher requirements of the ACA and obtain a right to reinsurance or, at least in some instances, they may be able to grandfather their policy and avoid many ACA mandates but forfeit a right to reinsurance. I have not seen any good statistics on how many of the 11 million will persist into 2014, but I would be surprised if more than 80% did.  So, rather than 11 million, it seems to be the better upper bound on the number of extant non-Exchange, reinsurance eligible policies is 9 million.

It thus seems to me as if the better upper bound on  the number of policies that might trigger a reinsurance obligation is 12 million: 3 million genuinely new policies plus 9 million sold outside the Exchange but eligible for reinsurance. This means, however, that if CMS’s estimates of claims under the ACA are correct, a reasonable upper bound on reinsurance payments under section 1341 of the ACA are likely to be at most $6.3 billion ($525 x 12 million) rather than $12 billion.

Given all this, there are two aspects of CMS’ s behavior that are a bit puzzling.  Why is CMS not adjusting the reinsurance benefit for this year say to provide 100% coverage rather than 80% coverage and/or removing the $250,000 cap on claims triggering reinsurance? Or, given the belief of the President that he has discretion to waive taxes in light of changed circumstances, why is CMS not waiving, say, half of the taxes that would otherwise be owed.  (Not that I think this is constitutional).

The answer to the puzzler, I suspect, is either a cognitive failure or a very clever strategy. It is possible that it has not dawned on CMS that changing enrollment patterns means that it will not be able to exhaust the $12 billion it expects to receive pursuant to section 1341. More likely, however, someone at CMS has done the math and has been delighted to discover a slush fund that it can use the money to provide extra generous reinsurance next year and thus keep the price of premiums down.  How will we know? If we see an announcement from CMS in the next few months changing the parameters for the 2015 reinsurance plan to be considerably more generous, believe that it is the result of collecting “too much” in taxes in 2014. In the meantime, however, we have another example of ACA “details” that don’t seem to stand up under close scrutiny.

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Shocking secrets of the actuarial value calculator revealed!

That might be how the National Enquirer would title this blog entry.  And, hey, if mimicking its headline usage attracts more readers than “Reconstructing mixture distributions  with a log normal component from compressed health insurance claims data,” why not just take a hint from a highly read journal?  But seriously, it’s time to continue delving into some of the math and science behind the issues with the Affordable Care Act. And, to do this, I’d like to take a glance at a valuable data source on modern American health care, the data embedded in the Actuarial Value Calculator created by our friends at the Center for Consumer Information and Insurance Oversight (CCIIO).

This will be the first in a series of posts taking another look at the Actuarial Value Calculator (AVC) and its implications on the future of the Affordable Care Act. (I looked at it briefly before in exploring the effects of reductions in the transitional reinsurance that will take effect in 2015).  I promise there are yet more important implications hidden in the data.  What I hope to show in my next post, for example, is how the data in the Actuarial Value Calculator exposes the fragility of the ACA to small variations in the composition of the risk pool.  If, for example, the pool of insureds purchasing Silver Plans has claims distributions similar to those that were anticipated to purchase Platinum Plans, the insurer might lose more than 30% before Risk Corridors were taken into account and something like 10% even after Risk Corridors were taken into account. And, yes, this takes account of transitional reinsurance. That’s potentially a major risk for the stability of the insurance markets.

What is the Actuarial Value Calculator?

The AVC is intended as a fairly elaborate Microsoft Excel spreadsheet that takes embedded data and macros (essentially programs) written in Visual Basic, and is intended to help insurers determine whether their proposed Exchange plans conform to the requirements for the various “metal tiers” created by the ACA. These metal tiers in turn attempt to quantify the ratio of the expected value of the benefits paid by the insurer to the expected value of claims covered by the policy and incurred by insureds. The programs, I will confess, are a bit inscrutable — and it would be quite an ambitious (and, I must confess, tempting) project to decrypt their underlying logic — but the data they contain is a more accessible goldmine. The AVC contains, for example, the approximate distribution of claims the government expects insurers writing plans in the various metal tiers to encounter.

There are serious limitations in the AVC, to be sure. The data exposed has been aggregated and compressed; rather than providing the amount of actual claims, the AVC has binned claims and then simply presented the average claim within each bin.  This space-saving compression is somewhat unfortunate, however, because real claims distributions are essentially continuous. Everyone with annual claims between $600 and $700 does not really have claims of $649. This distortion of the real claims distribution makes it more challenging to find analytic distributions (such as variations of log normal distributions or Weibull distributions) that can depend on the generosity of the plan and that can be extrapolated to consider implications of serious adverse selection. It’s going to take some high-powered math to unscramble the egg and create continuous distributions out of data that has had its “x-values” jiggled.  Moreover, there is no breakdown of claim distributions by age, gender, region or other factors that might be useful in trying to predict experience in the Exchanges.  (Can you say “FOIA Request”?)

This blog entry is going to make a first attempt, however, to see if there aren’t some good analytic approximations to the data that must have underlain the AVC. It undertakes this exercise in reverse engineering because once we have this data, we can make some reasonable extrapolations and examine the resilience — or fragility — of the system created by the Affordable Care Act. The math may be a little frightening to some, but either try to work with me and get it or just skip to the end where I try to include a plain English summary.

The Math Stuff

1. Reverse engineering approximate continuous approximations to the data underlying the Actuarial Value Calculator

Nothwithstanding the irritating compression of data used to produce the AVC, I can reconstruct a mixture distribution composed mostly of truncated exponential distributions that well approximates the data presented in the AVC.   I create one such mixture distribution for each metal tier. I use distributions from this family because they have been proven to be “maximum entropy distributions“, i.e. they contain the fewest assumptions about the actual shape of the data. The idea is to say that when the AVC says that there were 10,273 claims for silver-like policies between $800 and $900 and that they averaged $849.09, that average could well have been the result of an exponential distribution  that has been truncated to lie between $800 and $900.  With some heavy duty math, shown in the Mathematica notebook available here, we are able, however, to find the member of the truncated exponential family that would produce such an average. We can do this for each bin defined by the data, resorting to uniform distributions for lower values of claims.

The result of this process is a  messy mixture distribution, one for each metal tier. The number of components in the distribution is essentially the same as the number of bins in the AVC data. This will be our first approximation of “the true distribution” from which the claims data presented in the AVC calculator derives. The graphic below shows the cumulative density functions (CDF) for this first approximation. (A cumulative density function shows, for each value on the x-axis the probability that the value of a random draw from that distribution will be less than the value on the x-axis).   I present the data in semi-log form: claim size is scaled logarithmically for better visibility on the x-axis and percentage of claims less than or equal to the value on the x-axis is shown on the y-axis.

CDF of the four tiers derived from the first approximation of the data in the AVC
CDF of the four tiers derived from the first approximation of the data in the AVC

There are two features of the claims distributions that are shown by these graphics.  The first is that the distributions are not radically different.  The model suggests that the government did not expect massive adverse selection as a result of people who anticipated higher medical expenses to disproportionately select gold and platinum plans while people who anticipated lower medical expenses to disproportionately select bronze and silver plans. The second is that, when viewed on a semi-logarithmic scale, the distributions for values greater than 100 look somewhat symmetric about a vertical axis.  They look as if they derive from some mixture distribution composed of a part that produces a value close to zero and something kind of log normalish. If this were the case, it would be a comforting result, both because such mixture distributions would be easy to parameterize and extrapolate to lesser and greater forms of adverse selection and because such mixture distributions with a log normal component are often discussed in the literature on health insurance.

2. Constructing a single Mixture Distribution (or Spliced Distribution) using random draws from the first approximation

One way of finding parameterizable analytic approximations of “the true distribution” is to use our first approximation to produce thousands of random draws and then to use mathematical  (and Mathematica) algorithms to find the member of various analytic distribution families that best approximate the random draws. When we do this, we find that the claims data underlying each of the metal tiers is indeed decently approximated by a three-component mixture distribution in which one component essentially produces zeros and the second component is a uniform distribution on the interval 0.1 to 100 and the third component is a truncated log normal distribution starting at 100.  (This mixture distribution is also a “spliced distribution” because the domains of each component do not overlap). This three component distribution is much simpler than our first approximation, which contains many more components.

We can see how good the second-stage distributions are by comparing their cumulative distributions (red) to histograms created from random data drawn from the actuarial value calculator (blue).  The graphic below show the fits to look excellent.

Note: I do not contend that a mixture distribution with a log normal distribution perfectly conforms to the data.  It is, however, pretty good for practical computation.

Actual v. Analytic distributions for various metal tiers
Actual v. Analytic distributions for various metal tiers

 

 3. Parameterizing health claim distributions based on the actuarial value

The final step here is to create a function that describes the distribution of health claims as a function of a number (v) greater than zero. The concept is that, when v assumes a value equal to the actuarial value of one of the metal tiers, the distribution that results mimics the distribution of AVC-anticipated claims for that tier.  By constructing such a function, instead of having just four distributions, I obtain an infinite number of possible distributions. These distributions collapse as special cases to the actual distribution of health care claims produced by the AVC. This process enables us to describe a health claim distribution and to extrapolate what can happen if the claims experience is either better (smaller) than that anticipated for bronze plans or worse (higher) than that anticipated for platinum plans. One can also use this process to compute statistics of the distribution as a function of v such as mean and standard deviation.

Here’s what I get.

Mixture distribution as a function of the actuarial value parameter v
Mixture distribution as a function of the actuarial value parameter v

Here is a animation showing, as a function of the actuarial value parameter v, the cumulative distribution function of this analytic approximation to the AVC distribution.  

Animated GIF showing Cumulative distribution of claims by "actuarial value
Cumulative distribution of claims by “actuarial value”

 

One can see the cumulative distribution function sweeping down and to the right as the actuarial value of the plan increases. This is as one would expect: people with higher claims distributions tend to separate themselves into more lavish plans.

Note: I permit the actuarial value of the plan to exceed 1. I do so recognizing full well that no plan would ever have such an actuarial value but allow myself to ignore this false constraint.  It is false because what one is really doing is showing a family of mixture distributions in which the parameter v can mathematically assume any positive value but calibrated such that (a)  at values of 0.6, 0.7, 0.8 and 0.9 they correspond respectively with the anticipated distribution of health care claims found in the AVC for bronze, silver, gold and platinum plans respectively and (b) they interpolate and extrapolate smoothly and, I think, sensibly from those values.

The animation below presents largely the same information but uses the probability density function (PDF) rather than the sigmoid cumulative distribution function. (If you don’t know the difference, you can read about it here.)  I do so via a log-log plot rather than a semi-log plot to enhance visualization.  Again, you can see that the right hand segment of the plot is rather symmetric when plotted using a logarithmic x-axis, which suggests that a log normal distribution is not a bad analytic candidate to emulate the true distribution.

Log Log plot of probability density function of claims for different actuarial values of plans

 

Some initial results

One useful computation we can do immediately with our parameterized mixture distribution is to see how the mean claim varies with this actuarial parameter v. The graphic below shows the result.  The blue line shows the mean claim as a function of “actuarial value” without consideration of any reinsurance under section 1341 (18 U.S.C. § 18061) of the ACA.  The red line shows the mean claim net of reinsurance (assuming 2014 rates of reinsurance) as a function of “actuarial value.” And the gold line shows the shows the mean claim net of reinsurance (assuming 2015 rates of reinsurance) as a function of “actuarial value.” One can see that the mean is sensitive to the actuarial value of the plan.  Small errors in assumptions about the pool can lead to significantly higher mean claims, even with reinsurance figured in.

Mean claims as a function of actuarial value parameter for various assumptions about reinsurance
Mean claims as a function of actuarial value parameter for various assumptions about reinsurance

I can also show how the claims experience of the insurer can vary as a result of differences between the anticipated actuarial value parameter v1 that might characterize the distribution of claims in the pool and the actual actuarial value parameter v2 that ends up best characterizing the distribution of claims in the pool.  This is done in the three dimensional graphic below. The x-axis shows the actuarial value anticipated to best characterize an insured pool. The y-axis shows the actuarial value that ends up best characterizing that pool.  The z-axis shows the ratio of mean actual claims to mean anticipated claims.  A value higher than 1 means that the insurer is going to lose money. Values higher than 2 mean that the insurer is going to lose a lot of money.  Contours on the graphic show combinations of anticipated and actual actuarial value parameters that yield ratios of 0.93, 1.0, 1.08, 1.5 and 2. This graphic does not take into account Risk Corridors under section 1342 of the ACA.

What one can see immediately is that there are a lot of combinations that cause the insurer to lose a lot of money.  There are also combinations that permit the insurer to profit greatly.

Ratio of mean actual claims to mean expected claims for different combinations of anticipated and actual actuarial value parameters
Ratio of mean actual claims to mean expected claims for different combinations of anticipated and actual actuarial value parameters

Plain English Summary

One can use data provided by the government inside its Actuarial Value Calculator to derive accurate analytic statistical distributions for claims expected to occur under the Affordable Care Act.  Not only can one derive such distributions for the pools anticipated to purchase policies in the various metal tiers (bronze, silver, gold, and platinum) but one can interpolate and extrapolate from that data to develop distributions for many plausible pools.  This ability to parameterize plausible claims distributions becomes useful in conducting a variety of experiments about the future of the Exchanges under the ACA and exploring their sensitivity to adverse selection problems.

Resources

You can read about the methodology used to create the calculator here.

You can get the actual spreadsheet here. You’ll need to “enable macros” in order to get the buttons to work.

The actuarial value calculator has a younger cousin, the Minimum Value Calculator.  If one looks at the data contained here, one can see the same pattern as one finds in the Actuarial Value Calculator.

Joke

Probably I should have made the title of this entry “Shocking sex secrets of the actuarial value calculator revealed!” and attracted yet more viewers.  I then could have noted that the actuarial value calculator ignores sex (gender) in showing claims data.  But that would have been going too far.

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Proposed cuts in transitional reinsurance could increase Exchange premiums 7-8% in 2015

Late last week, HHS released its 255-page HHS Notice of Benefit and Payment Parameters for 2015. Buried away in this technical documents are at least two interesting matters.

  1. HHS is planning to cut reinsurance payments to insurers participating in its Exchanges in a way that, in and of itself, could increase gross premiums 7-8% in 2015 and increase the risk of further adverse selection
  2. HHS has validated the claims of insurers that President Obama’s recent about-face on the ability of insurers to renew certain policies not providing Essential Health Benefits could destabilize the insurance market.  The Notice proposes changing the way insurers calculate their profits and losses so that the amount of payments made by government to insurers in the Exchange would increase. It claims, however, that it does not know how much this will cost.
The HHS Notice for 2015
The HHS Notice for 2015

Less reinsurance

Under the system in place for 2014, if insurers in an Exchange have to pay between $45,000 and $250,000 on one of their insureds, the government picks up 80% of that loss (assuming the $63 per insured life it taxes various other health insurance plans is sufficient to pay that amount). But in 2015, the money that goes into this transitional reinsurance pool (section 1341 of the ACA, 42 U.S.C. sec. 18061) declines by a third from $12 billion to $8 billion and the head tax correspondingly declines from $63 to $44. As a result, HHS proposes to now pick up only 50% of the tab for losses between $70,000 and $250,000. Thus, losses between $45,000 and the new $70,000 attachment point will now fall entirely on insurers without federal help and insurers will have to pay 30% more on losses between $70,000 and $250,000.

This reduction in free reinsurance provided by the taxpayers will almost certainly result in increased premiums for insureds. My estimate is that the average premium hike induced by this reduction in reinsurance is likely to be about 7-8%.

Here’s how I did this computation. I took loss distributions contained in the government’s “Actuarial Value Calculator.” That’s the Excel spreadsheet the government (and insurers) use to figure out what metal tier, if any, their policy falls into. I then performed the following steps.  You can verify what I have done in the Computable Document Format (CDF) document I have placed on Dropbox. You can view the document using the free CDF player or using Mathematica

Step 1.  I determined the expected value of claims under those loss distributions with reinsurance parameters set at the 2014 rates.  I get four results, one for each metal tier: {3630.52, 4223.87, 4468.95, 5556.06}. I then do exactly the same computation but use the 2015 reinsurance parameters. I get four results, one for each metal tier: {3906.67, 4550.95, 4807.06, 5948.53}.

Step 2. I multiply each result by the actuarial value of the associated metal tier to approximate the size of the premium needed to support the expected level of the claims. I get {2178.31, 2956.71, 3575.16, 5000.46} for the 2014 reinsurance parameters and {2344., 3185.67, 3845.65, 5353.68} for the 2015 reinsurance parameters.

Step 3. I then simply compute the percent increase in the needed 2015 premiums over the needed 2014 premiums and get {0.0760631, 0.077436, 0.0756584, 0.0706371}

If losses are, as I suspect they will be, greater than those assumed in the actuarial value calculator — because the pool is going to be drawn for a variety of reasons from a riskier group than originally anticipated —  the diminution in reinsurance is yet more significant and, standing by itself, could add more than 7-8% to the gross premiums charged in the Exchanges.

Whether the increase in gross premiums is about 7-8% or whether it is higher, it creates a heightened risk for an adverse selection problem.  This is so because, although subsidies insulate many people in the Exchanges from increases in gross premiums — net premiums are pegged to income rather than gross premiums for them — it will affect the significant number (estimated by HHS to be about 18% (4/22)) who are expected to purchase policies inside the Exchanges without subsidies.  The higher premiums go, however, the more we would expect to see the healthy drop out and find substitutes for the non-underwritten policies sold in the Exchanges. (If premiums are low enough, adverse selection is not a problem: insurance is a good deal for everyone and healthy and sick purchase it alike. See, e.g., Medicare Part B, which is very heavily subsidized and does not suffer seriously from adverse selection.)

Note to experts. Some of you might think I erred in saying that the 2014 reinsurance attachment point is $45,000 and not $60,000. But the 2015 notice says on page 11 that it will retroactively reduce the attachment point to $45,000.

HHS Validates Insurer Fears About Obama Reversal and the Destabilization of Insurance Markets

Many individuals, including me, have claimed that President Obama’s recent decision to permit insurers to “uncancel” certain individual plans that do not contain Essential Health Benefits could destabilize insurance markets. The Notice of Benefit and Payment Parameters just released appears to validate that assertion. Stripped of bureaucratese, the HHS document basically says that insurers are right to be disconcerted by the President’s about face.

For those who enjoy bureaucratese, however, or who properly want to validate my own conclusions about the document, here’s what it actually says.

On November 14, 2013, the Federal government announced a policy under which it will not consider certain non-grandfathered health insurance coverage in the individual or small group market renewed between January 1, 2014, and October 1, 2014, under certain conditions to be out of compliance with specified 2014 market rules, and requested that States adopt a similar non-enforcement policy.

Issuers have set their 2014 premiums for individual and small group market plans by estimating the health risk of enrollees across all of their plans in the respective markets, in accordance with the single risk pool requirement at 45 CFR 156.80. These estimates assumed that individuals currently enrolled in the transitional plans described above would participate in the single risk pools applicable to all non-grandfathered individual and small group plans, respectively (or a merged risk pool, if required by the State). Individuals who elect to continue coverage in a transitional plan (forgoing premium tax credits and cost-sharing reductions that might be available through an Exchange plan, and the essential health benefits package offered by plans compliant with the 2014 market rules, and perhaps taking advantage of the underwritten premiums offered by the transitional plan) may have lower health risk, on average, than enrollees in individual and small group plans subject to the 2014 market rules.

If lower health risk individuals remain in a separate risk pool, the transitional policy could increase an issuer’s average expected claims cost for plans that comply with the 2014 market rules. Because issuers would have set premiums for QHPs in accordance with 45 CFR 156.80 based on a risk pool assumed to include the potentially lower health risk individuals that enroll in the transitional plans, an increase in expected claims costs could lead to unexpected losses.

So, the government wants help in figuring out what to do. One method it is contemplating involves technical adjustments to the Risk Corridors program in a way that would get insurers more money (pp. 101-105).  Although I will confess to considerable difficulty in understanding exactly what it is that HHS suggesting, the basic idea, as I understand it, would be to assume that those who, by virtue of the President’s about face, “uncancel” their policies would have had claims expenses equal to 80% of the average claims of the rest of the pool (page 103-04). HHS will then, on a state-by-state basis figure out what the position of the insurer would have been and try to adjust Risk Corridors such that the position of the insured after application of adjusted Risk Corridors is similar to that which it would have been in had these persons, who pay the same premium as the rest but who tend to have only 80% of the claims expenditures, enrolled in their plan.

It is not clear to me where the statutory authority to make this change comes from. Section 1342 of the ACA (42 U.S.C. 18062) does not define its key terms of “target amount” and “allowable costs” in a fashion that would appear to my eye to extend to hypothetical costs and hypothetical premiums. I will also confess to being unsure as to who would have standing to challenge this proposed give away of taxpayer money to the insurance industry.

What is clear to me, however, is the proposed reform, by necessity, will result in greater previously unbudgeted expenditures by the federal government. If we are really talking about making insurers whole and the people in question might have profited insurers something like $1,000 a person, the federal government appears to be suggesting a change in regulations that could cost it hundreds of millions of dollars.  The HHS Notice declines to put an exact figure on the cost of the change:

Because of the difficulty associated with predicting State enforcement of 2014 market rules and estimating the enrollment in transitional plans and in QHPs, we cannot estimate the magnitude of this impact on aggregate risk corridors payments and charges at this time.

HHS is probably correct in saying it is difficult to estimate the cost of the proposed changes to Risk Corridors.  I don’t think we have a good feel for how many people will return to the plans President Obama has carved out for special treatment.  It does look, however, as if a floor of a couple of hundred million dollars on the cost of the proposal would be quite reasonable. This, of course, could give some ammunition to those, such as Florida Senator Marco Rubio, who have called for repeal of the Risk Corridors provision as an insurance “bailout.” (For a discussion, look here, here and here)

Final Note

Yesterday, I said I hoped to provide a major post.  This actually is not the post I was speaking about. There’s still more news coming.  Maybe today or maybe while recovering from a turkey overdose tomorrow.

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Five questions journalists should be asking about the Affordable Care Act

I’m hearing a lot of the lazy “but what are the political implication” perpetual horse race questions from the media about recent developments surrounding the Affordable Care Act. That’s fun Inside-the-Beltway stuff, but in the mean time there are real people who are likely to be helped and hurt with matters as essential as their health.  So, what I am not hearing enough of yet, however, are tough, substantive questions that get to the heart of whether the Affordable Care Act is going to be stillborn. Here are some questions that I think intelligent journalists and blogger ought to be asking in light of recent developments with the Affordable Care Act.  Getting answers in many cases may take persistent questioning and closer scrutiny of existing documents. In others, FOIA requests may be needed.

1. Actual v. Anticipated Age Distributions in the Exchanges

What is the age distribution by state and in the aggregate of persons who it is claimed have enrolled in Exchange-based plans under the Affordable Care Act? Once we have this data, we can compare it to (a) census data on the age distributions in the various states and (b) any prior estimates on what the age distribution of Exchange enrollees would be such as those described in this government document.  If there is a significant difference between the age distribution encountered thus far and the anticipated age distribution, that increases the probability of the ACA succumbing to an adverse selection death spiral.  This is so because, although the ACA permits some age rating, it damps the actual variation in expected claims from lowest to highest eligible ages down to a 3:1 ratio.

2. Actual v. Anticipated Metal Tier Distributions

What is the distribution of enrollees amongst the various “metal tiers” ranging from bronze through platinum?  If the enrollees are flocking disproportionately to the platinum and gold plans, that suggests the people who are enrolling may be disproportionately unhealthy.  While those plans were expected to draw a slightly less healthy population, the government planned on there still being a significant number of healthy people in those pools.  According to data contained inside the government’s “Actuarial Value Calculator,” the predicted mean claim for bronze policies (across ages, genders, regions, etc.) was $4,977 per person whereas the predicted mean claim for platinum policies (again across ages, genders, regions, etc.) was $5,804. (Cells C88 in various tabs) I believe that significant selection of these more generous plans should give insurers (and insureds) concern about a death spiral materializing.

3. Where is additional “Risk Corridor” money coming from?

3. What the heck does this sentence mean in the letter from Gary Cohen, Director of the Center for Consumer Information and Insurance Oversight (pronounced suh-sy-o) to state insurance commissioners providing details on President Obama’s announcement that he would not be enforcing the Essential Health Benefit restrictions on certain non-grandfathered plans?

Though this transitional policy was not anticipated by health insurance issuers when setting rates for 2014, the risk corridor program should help ameliorate unanticipated changes in premium revenue. We intend to explore ways to modify the risk corridor program final rules to provide additional assistance.

To me, this sounds like the President is saying they will buy off the insurance companies in the Exchanges, who stand to lose as a result of the decision to starve them of mostly healthy insureds forced out of “substandard” nongroup policies.  The President may be hinting that he will  try to make them whole through providing more money under the Risk Corridors provisions of section 1342 of the Affordable Care Act, 42 U.S.C. § 18062. As discussed in a prior blog post, this may in fact be possible, but it is not clear where the money is coming from.  I suspect this issue may form a significant part of the conversations between insurance CEOs and President Obama that will apparently occur at the White House later today. If so, journalists need to push on where President Obama is finding the money and how much money are we talking about?

CBO thought Risk Corridors would be costless
CBO thought Risk Corridors would be costless

Journalists might also note in pursuing this matter that it has hitherto been assumed by the Congressional Budget Office that the Risk Corridors program would be a net zero. Here’s what they said in their Regulatory Impact Analysis of March 2012:

CBO did not score the impact of risk corridors and assumed collections would equal payments to plans and would therefore be budget neutral.

If, as I have argued, the assumption in the CBO document has always been doubtful and is now almost certainly false, again, where is the money coming from and could we be talking about tens of billions of dollars? Is President Obama going to (a) keep his promise and (b) pacify the insurers by just spending lots of money that was previously unbudgeted and undisclosed?

A shout out, by the way, to blogger Kathleen Pender for being one of the few to focus on this issue.

4. Are any insurers yet threatening to pull out?

Have any state insurance commissioners heard rumblings or worse about various insurers pulling out for 2014 or declining to take on any more enrollees, if that restriction is permitted?  I suggested in a Houston Chronicle op-ed yesterday that such a development was likely, but I don’t know of evidence that it has yet occurred.  I could imagine, for example, insurers who priced their policies high relative to others of the same metal tier in the same market wanting to exit. They would want to do so because very few people are likely to select their plan and so there may be a lot of administrative costs for very little benefits and because the people who did select their plan may have done so because they believed the networks and coverages were more generous — something the less healthy would particularly care about. I could also imagine insurers who priced their policies low relative to others of the same metal tier in the same market wanting to exit.  If, as is feared, the pool of exchange insureds is older and sicker than projected, the victims are likely to be the insurers who price low and thus have the highest amount of business in the Exchanges.

5. How serious are the  insurance industry groups and actuarial warnings?

Journalists should be pressing people like Karen Ignani, president and chief executive of America’s Health Insurance Plans, Corri Uccello, senior health fellow at the American Academy of Actuaries, Jim Donelon, President of the extremely powerful National Association of Insurance Commissioners, and others on how great they regard the threat of the Exchanges becoming destabilized as a result of the combination of minuscule current enrollments coupled with the competitive alternative that appears to have been created by President Obama’s announcement yesterday or by the Upton and Landrieu bills circulating in Congress that do roughly the same or more to starve the Exchanges of healthy insureds. These individuals are issuing some fairly significant warnings about what is going on.  Jim Donelon, for example, states:

This decision continues different rules for different policies and threatens to undermine the new market, and may lead to higher premiums and market disruptions in 2014 and beyond.

The American Academy of Actuaries, via David A. Shea, Jr., Vice President, Health Practice Council, warns:

 Premiums in the new 2014 insurance markets would have been higher if the ACA rules regarding cancelled policies had been relaxed.

 Approved premiums for 2014 are based on assumptions regarding plan cancellation requirements under ACA rules. The premiums approved for 2014 may not adequately cover the cost of providing benefits for an enrollee population with higher claims than anticipated in the premium calculations.

 Costs to the federal government could increase as higher-than-expected average medical claims are more likely to trigger risk corridor payments.

 Relaxing the plan cancellation requirements could increase premiums for 2015. Insurers cannot increase premiums in future years to make up for prior losses. However, assumptions regarding the composition of the risk pool would reflect plan experience in 2014.

This sounds very serious.  Journalists ought to try to develop some statements from these people on the “order of magnitude” of the threats they see occurring as a result of recent developments.

 

 

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