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CHAPTER 2. HEALTH PLAN CHOICE 97<br />

HMO, as it would be the most efficient s<strong>in</strong>gle-plan offer<strong>in</strong>g for every firm <strong>in</strong> our data.<br />

Relative to the <strong>in</strong>tegrated HMO benchmark, the observed plan offer<strong>in</strong>gs <strong>in</strong>crease so-<br />

cial welfare by almost $70 per enrollee-month for the firms <strong>in</strong> our data. Virtually<br />

all of this is due to an <strong>in</strong>crease <strong>in</strong> consumer surplus (gross of plan contributions)<br />

rather than to a reduction <strong>in</strong> <strong>in</strong>surer costs. Indeed, <strong>in</strong>surer costs would be lowest if<br />

all households were enrolled <strong>in</strong> the network HMO but the reduction <strong>in</strong> social surplus<br />

would be large due the reduction <strong>in</strong> consumer surplus.<br />

One caveat to this calculation is the logit dem<strong>and</strong> specification is notorious for<br />

generat<strong>in</strong>g large “new product” welfare ga<strong>in</strong>s. Roughly speak<strong>in</strong>g, the problem is that<br />

each new product adds a new preference dimension, <strong>and</strong> some households <strong>in</strong>variably<br />

enjoy a large welfare ga<strong>in</strong> from this addition due to the logit distributional assump-<br />

tion. So while we th<strong>in</strong>k the benefits of plan choice are real, we urge some caution <strong>in</strong><br />

<strong>in</strong>terpret<strong>in</strong>g the magnitude of the measured effect.<br />

2.5.4 Discussion <strong>and</strong> Sensitivity Analysis<br />

Our estimates of market <strong>in</strong>efficiencies are based on a particular set of employers <strong>in</strong> a<br />

particular geographic area. One way to address external validity is to compare our<br />

estimates with some other studies of specific environments, such as ?, ?, <strong>and</strong> ?. These<br />

studies all rely on data from <strong>in</strong>dividual large employers, <strong>and</strong> <strong>in</strong> each case, the plans<br />

are plausibly dist<strong>in</strong>guished by their level of generosity, mak<strong>in</strong>g the environments a<br />

bit different from ours. All three studies f<strong>in</strong>d evidence that more generous plans are<br />

adversely selected. Cutler <strong>and</strong> Reber document this by us<strong>in</strong>g enrollee age as a proxy<br />

for risk. The latter two studies, like ours, use data on realized costs.<br />

Despite the difference <strong>in</strong> <strong>in</strong>stitutional sett<strong>in</strong>gs, the bottom l<strong>in</strong>e welfare estimates<br />

from these studies are fairly similar, <strong>and</strong> also similar to our estimates. Cutler <strong>and</strong><br />

Reber estimate that observed prices at Harvard University reduce welfare by around<br />

2-4% of coverage costs relative to optimal uniform prices. E<strong>in</strong>av, F<strong>in</strong>kelste<strong>in</strong> <strong>and</strong><br />

Cullen estimate that <strong>in</strong> their sett<strong>in</strong>g average cost pric<strong>in</strong>g has a welfare cost of roughly<br />

2% relative to optimal uniform pric<strong>in</strong>g. Carl<strong>in</strong> <strong>and</strong> Town f<strong>in</strong>d much smaller welfare

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