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 3. MEDIGAP 124<br />
shows enrollment by plan letter <strong>and</strong> the plan characteristics <strong>in</strong> detail. Plans C <strong>and</strong><br />
F, by far the most popular plans, are chosen by over 60 percent of the Medigap<br />
beneficiaries. Both of these plans cover the hospital <strong>and</strong> physician deductibles, <strong>in</strong><br />
addition to the basic benefits common to all lettered plans. In this paper, we estimate<br />
the marg<strong>in</strong>al effect of the average Medigap plan, rather than the effect of particular<br />
plan characteristics. We believe the marg<strong>in</strong>al effect of Medigap captures a mean<strong>in</strong>gful<br />
concept <strong>in</strong> this context because the vast majority of <strong>in</strong>dividuals are on Medigap plans<br />
face the same marg<strong>in</strong>al change <strong>in</strong> prices. The common characteristics of the Medigap<br />
plans are ex ante the most likely drivers of moral hazard accord<strong>in</strong>g to previous studies.<br />
In particular, it is thought that physician expenditures is one of the most flexible<br />
marg<strong>in</strong>s of health care spend<strong>in</strong>g, <strong>and</strong> all plans <strong>in</strong>clude Part B physician co<strong>in</strong>surance<br />
coverage. 14 Part B co<strong>in</strong>surance coverage it thought to generate substantial moral<br />
hazard because it dramatically reduces the marg<strong>in</strong>al prices for doctor visits for almost<br />
everyone with physician expenditures. 15<br />
3.3 Data<br />
We have two primary sources of data. We use the Medicare Current Beneficiary<br />
Survey (MCBS) for 2000 through 2005. This data is a short panel of Medicare<br />
beneficiaries that <strong>in</strong>cludes cost data by payer, <strong>in</strong>formation about Medigap coverage,<br />
demographic <strong>in</strong>formation <strong>and</strong> relatively detailed health status variables. In addition<br />
to the MCBS data, we use Medigap premium data from Weiss Rat<strong>in</strong>gs. We obta<strong>in</strong>ed<br />
premium data for 2000 <strong>and</strong> 2003. This data <strong>in</strong>cludes premiums charged dur<strong>in</strong>g the<br />
open enrollment period by company, state, <strong>and</strong> plan letter. We use these two years<br />
of premiums to extrapolate premiums from 2000 to 2005. 16<br />
We match MCBS beneficiaries with the prices they faced at age 65. This means<br />
14 See ?.<br />
15 Because elderly <strong>in</strong>dividuals almost all have physician expenditures of 135 dollars annually (the<br />
approximate value of the Part B deductible), the marg<strong>in</strong>al price they face is the 20 percent co<strong>in</strong>surance<br />
rate for physician visits beyond this deductible. Compare this to the Part B deductible<br />
coverage, which is not available <strong>in</strong> all plans, but probably doesnt lead to much moral hazard.<br />
16 In particular, we assume a l<strong>in</strong>ear trend <strong>in</strong> premiums between 2000 <strong>and</strong> 2003. Us<strong>in</strong>g this trend,<br />
we project forward until 2005.