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essays in public finance and industrial organization a dissertation ...

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CHAPTER 2. HEALTH PLAN CHOICE 89<br />

<strong>in</strong>corporation of unobserved risk (Column 3).<br />

We f<strong>in</strong>d some sort<strong>in</strong>g on the basis of health status conditional on age <strong>and</strong> sex,<br />

driven primarily by hav<strong>in</strong>g a very high risk household member. The effects of the<br />

l<strong>in</strong>ear risk score on plan choice are generally small <strong>and</strong> imprecise. Households with<br />

a high risk member, however, are less likely to enroll <strong>in</strong> the network HMO <strong>and</strong> more<br />

likely to enroll <strong>in</strong> the network PPO than the <strong>in</strong>tegrated HMO. In our preferred spec-<br />

ification (Column 3), an employee with a high risk family member is will<strong>in</strong>g to pay<br />

$28 per month more than an employee without a high risk family member to enroll<br />

<strong>in</strong> the network PPO relative to the <strong>in</strong>tegrated HMO. This is consistent, once aga<strong>in</strong>,<br />

with those who are more likely to use care plac<strong>in</strong>g a greater value on less restrictive<br />

provider networks.<br />

Our results also suggest that private <strong>in</strong>formation about health risk plays a role<br />

<strong>in</strong> plan choice, although the estimate is not precise. We estimate that the st<strong>and</strong>ard<br />

deviation of private risk <strong>in</strong>formation σµ is 0.68, which is substantial relative to the<br />

st<strong>and</strong>ard deviation of the observed risk scores (1.56 <strong>in</strong> Table 2.1). Roughly speak<strong>in</strong>g,<br />

observed risk scores appear to pick up just over 2/3 of the health status <strong>in</strong>formation<br />

that factors <strong>in</strong>to plan choice.<br />

While our f<strong>in</strong>d<strong>in</strong>gs with respect to risk selection are not <strong>in</strong>consistent with exist<strong>in</strong>g<br />

research, they suggest a relatively complex pattern of sort<strong>in</strong>g. Much of the exist<strong>in</strong>g<br />

literature f<strong>in</strong>ds evidence of unfavorable selection <strong>in</strong>to more generous plans (??) .<br />

We also f<strong>in</strong>d that the highest risk enrollees favor the most flexible plan, the network<br />

PPO. Overall, however, the average risk across plans is quite similar due to off-<br />

sett<strong>in</strong>g selection along different demographic dimensions, <strong>in</strong>clud<strong>in</strong>g age <strong>and</strong> gender,<br />

that are correlated with risk. This f<strong>in</strong>d<strong>in</strong>g is consistent with the idea that the plans<br />

cater to <strong>in</strong>dividuals with different tastes for health care, rather than offer<strong>in</strong>g different<br />

quantities of care, or target<strong>in</strong>g <strong>in</strong>dividuals of different health status.<br />

Effect of Plan Prices on Choice<br />

In the bottom panel, we present price semi-elasticities of dem<strong>and</strong>, def<strong>in</strong>ed as the<br />

percentage decrease <strong>in</strong> market share result<strong>in</strong>g from a $100 <strong>in</strong>crease <strong>in</strong> the annual<br />

enrollee contribution, evaluated at the mean choice probability for each plan. On

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