essays in public finance and industrial organization a dissertation ...
essays in public finance and industrial organization a dissertation ...
essays in public finance and industrial organization a dissertation ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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