There are two very short passages in a pair of ACA papers that are tertiary findings of those particular papers that have greatly influenced how I think about the ACA since the first time that I saw them. These two passages would have seemed bizarre to me in September 2013 when I was first started to write at Balloon-Juice and was working way too many hours putting together the UPMC Health Plan provider networks. But these two passages have significantly shaped my thinking.
First, Coleman Drake and Jean Abraham** looked at the affordability of plans after silverloading in the July 2019 Health Services Research. They conducted a sensitivity analysis that had a null result that is utterly fascinating:
This was a sensitivity analysis to eliminate possible alternative explanations from their primary finding. They wanted to know if insurers were acting strategically. I think this is a reasonable question. Were insurers recognizing that they were in monopoly counties and acting differently than if they were in deeply competitive markets? A profit maximizing insurer should act very differently. In a competitive market, premium spreads are likely to be low while in a monopoly market, premium spreads are whatever the insurer wants them to be. Yet Drake& Abraham found little evidence of deliberate strategic behavior.
That is fascinating!
Paul Shafer, Sarah Gollust, Seciah Aquino, Laura Baum, Ericka Franklin-Fowler ## and I recently published a large study on the effects of advertising on ACA enrollment in the Russell Sage Foundation Journal of Social Sciences (open access). We found some small effects of advertising on enrollment:
These models demonstrate that both sponsor and the specific product marketed are consequential for whether advertising volumes are associated with Marketplace enrollment rate (plan selections per hundred thousand population younger than sixty-five). Specifically, model 1 finds no relationship between health insurance ad volume overall and the Marketplace enrollment rate. Model 2 disaggregates by sponsor type and we see large positive estimates of the marginal effect of federal and both types of state ads (own and other state) on the Marketplace enrollment rate; however, only the volume of ads from other states reaches statistical significance. Finally, model 3 disaggregates the private ads further by product, showing that private non-Medicare, non-Medicaid, and private Medicaid airings are positively associated with enrollment, offering evidence of a spillover effect across products….
However the finding that has changed my thinking is also a secondary finding:
Higher premiums are counterintuitively good for enrollment. This is a finding about the unusual gearing of price linked subsidies. A 2% gap at $500 a month is significantly smaller and less valuable than a 2% gap at $1,000 per month for a benchmark premium. Premium spreads for the cheapest silver and cheapest subsidized plan are often far greater than 2%. It is the intuition that prompted my interest in zero premium plans and really gets to the functionality of the CSR silverloading mechanics that have fascinated me since Spring 2017. This little factoid gives a number to an inkling.
Neither of these facts are overwhelming, but they have shaped how I look at the ACA pricing dynamics over the past two years and how I think about the market as it is today and how it could be in 2022 or 2023.
* * The three of us write together frequently and, in the past 20 months, prolifically.
## Paul and I write together a lot. We’re in the midst of cooking several papers for late 2020 or early 2021 submissions. I’m co-authoring with Paul, Sarah, Laura and Ericka another paper that is currently under review.
p.a.
The first point: simple institutional entropy? Not exactly micro-e 101, but real world observation wins every time.
Point 2 (if I’m reading correctly a slightly higher premium = statistically significant subscription increases.). The ‘illusion’ of value- illusion in quotes because there may be more value in individual cases, not illusory value. Subscribers think the slightly cheaper product is, well, cheaper. Goes back to your previous post abt “choosing insurance is hard”. A study of lower level college sports attendance found that charging as little as $1 increased attendance over free admissions; it created the illusion of value. “If it’s free it can’t be worth it.”
David Anderson
@p.a.: Slightly different point on #2 —
Higher benchmark premiums makes everything priced below benchmark cheaper for subsidized individuals.
If anything, it significantly increases the probability of a zero premium plan being available.
fake irishman
Paper 2’s findings about increasing premiums leading to increased enrollment you highlight here really get a fundamental point of health care prices: prices/costs for whom? The price borne by consumers (a certain class any way 100-400 percent FPL) is lower, so it’s not surprising that they would enroll at a greater level even though premiums are higher overall.
Another big question is the two-way effect: How many and at what level are subsidized people enrolling (100-400% FPL), vs. how many 400% FPL+ people are pulling out of the exchange market? IS all the movement a few of the subsidized folks moving in, or is it a lot of subsidized folks moving in and a lot (but a few less) non-subsidized folks moving out?
Also, random obnoxious name-dropping: 15 years ago I was in a graduate seminar in political science with Sarah Gollust as a fellow student. She ran circles around us in a low-key friendly way.
David Anderson
@fake irishman: Sarah is an awesome co-author and a better person.
And you’re right; everything is a “for WHOM” question.
Going very simple a $1 change in net premium for a subsidized individual is a higher percentage change in net premium than it is for an unsubsidized individual, so the elasticities (unless they are interestingly kinked) would suggest that more uptake than outflow from higher premium levels.
Need to test that but that would be my hypothesis.
Yahoo
@fake irishman: https://www.cms.gov/CCIIO/Resources/Forms-Reports-and-Other-Resources/Downloads/Early-2020-2019-Effectuated-Enrollment-Report.pdf might have some details for you. Essentially, a large % of the exchange are by members who are in that 100% – 400% bucket and that % has been going up year after year, as you’d expect.
For reference, the members who are APTC eligible are in the 100% – 400% FPL, while those are CSR members are in the 100% – 250% FPL range.
David Anderson
@Yahoo:
I love those effectuation reports (several papers rely on them) but they only see part of the universe. We don’t see Off-Exchange QHPs purchased. We can look at actuarial memos and URRTs to get estimates but there is a lot of known unknowns from people who buy ACA regulated plans from outside of a HIX.
graeme murray
Why is it that the richest, most powerful country in the world can’t, unlike every other advanced nation, provide its citizens some form of universal healthcare?