By pooling employees from a variety of small firms, policymakers hope

Size: px
Start display at page:

Download "By pooling employees from a variety of small firms, policymakers hope"

Transcription

1 DataWatch Implicit Pooling Of Workers From Large And Small Firms by Alan C. Monheit and Jessica Primoff Vistnes Abstract: Risk pools for small employers have become an integral part of proposals for national health care reform and have been implemented by a number of states. These explicit attempts to pool small employers are occurring at the same time that many smallfirm employees obtain health insurance through implicit pooling arrangements as the dependent of a policyholder insured by a large firm. We use data from the 1987 National Medical Expenditure Survey to document the extent of implicit pooling arrangements, to examine whether smallfirm employees and their dependents are adverse health risks, and to assess the cost implications of pooling small and largefirm employees and dependents. By pooling employees from a variety of small firms, policymakers hope for two things: to avoid a number of exclusionary practices that characterize the smallgroup market for health insurance, and at the same time to spread health care risks over a sufficiently large base of enrollees. 1 The ultimate goal of risk pooling is to achieve access to health insurance coverage for employees of small firms at premiums comparable to those available to employees of large firms Explicit attempts to pool groups of smallfirm employees are occurring at the same time that a substantial number of insured smallfirm employees already obtain health insurance through implicit pooling arrangements: as dependents of a worker in a large firm. By our computations, some 36 percent of smallfirm employees (those in firms of twentyfive or fewer workers) covered by employmentrelated health insurance obtain insurance in this manner. This has important implications for reform. Under the Clinton plan, with its proposed communityrated regional health alliances to pool diverse groups of workers from large and small firms, such an implicit subsidy from large to small employers raises important questions regarding the potential impact of drawing smallfirm employees into an insurance pool. In particular, does the inclusion of smallfirm workers and their dependents raise the per capita health care costs of largefirm enrollees and, ultimately, the level of premiums paid by large employers? Put Alan Monheit is senior research manager and Jessica Vistnes is a service fellow at the Agency for Health Care Policy and Research, Center for General Health Services Intramural Research, Division of Medical Expenditure Studies, in Rockville, Maryland.

2 302 HEALTH AFFAIRS Spring (I) 1994 differently, are smallfirm employees and their dependents adverse health risks who can be expected to raise the average level of expenditures for all employees in the pool? What are the implications for health care spending and health insurance premiums should uninsured smallfirm employees and their dependents obtain coverage? Finally, a discussion of implicit pooling also can shed light on equity issues related to an employer mandate. To the extent that small employers are indirectly subsidized by large firms for the health insurance of the former's employees, a stronger argument can be made to require all employers to contribute to health insurance purchases. Our objectives in this DataWatch are to measure the extent of implicit pooling of small and largefirm employees and dependents; to examine whether implicit pooling raises the cost of insurance to largefirm employees by considering whether smallfirm workers and their dependents are adverse health risks; and to examine the cost of providing all smallfirm employees and their dependents with coverage available at large firms. Our findings indicate that implicit pooling arrangements affect a substantial number of smallfirm employees. We also find little evidence to suggest that current implicit pooling arrangements raise the per capita medical care expenditures of largefirm employees or their dependents. Finally, our results suggest that expanded pooling would not raise per capita medical care costs above those incurred by persons with largefirm insurance. Data and methods. The data used in this analysis are from the household component of the 1987 National Medical Expenditure Survey (NMES). The sample used in this paper includes 23,685 persons under age sixtyfive who were present in the last round of NMES and either were employed or were nonworking dependents of employees under age sixtyfive. To identify dependents of employees as well as to assign household characteristics to individuals, households were defined as consisting of an employee and (if present) a working or nonworking spouse, any unmarried children under age nineteen, and any unmarried fulltime students between ages nineteen and twentythree. In classifying workers as employees of small or large firms, firms that were freestanding establishments with fewer than twentysix employees were identified as small firms, and all others were classified as large firms. Persons were classified as employees or dependents in oneworker or twoworker households where the workers were employed by either small or large firms. Employmentrelated insurance was defined in the last round of NMES as insurance obtained through an employee's job. Note that insurance obtained through retirement or a previous job is included in "other private insurance." Finally, unless otherwise indicated, all differences discussed in the text are significant at least at the.05 level for Zscores having asymptotic normal properties.

3 DATAWATCH 303 Sources Of Health Insurance To provide a basis for our discussion of implicit pooling, Exhibit 1 presents the health insurance status of employed persons and their dependents according to household type and size of firm for each employee. As expected, broad differences are revealed in the type of coverage held by employees and dependents in small and large firms. Employees of small firms and their nonworking dependents are far less likely to hold employmentrelated health insurance and are far more likely to be uninsured than are their counterparts in large firms. Only 27.4 percent of employees and 27.3 percent of dependents in smallfirm/singleworker households have employmentrelated coverage, compared with 71.3 percent of employees and 65.9 percent of their dependents in largefirm/singleworker house Exhibit 1 Health Insurance Status Of Employed Persons And Dependents, By Household Type And Firm Size, 31 December 1987 Employment'related Household Population type/firm size (thousands) Total Total employees and dependents 180, % One worker, small firm Employee 15, Dependent 12, One worker, large firm Employee 39, Dependent 32, Two workers, both in small firm Employee 6,773 Dependent 3,921 Two workers, both in large firm Employee 26,907 Dependent 15, Two workers, one small/one large firm Employee Small 8,454 Large 8,367 Dependent 10, Policyholder 33.1% Dependent only 33.4% Other private 14.7% Public only 4.0% b 0.9 b Uninsured 14.7% Source: National Medical Expenditure Survey (NMES), Note: "Other private" insurance includes policyholders or dependents of insurance that is purchased directly from an insurance company or through a group that is not employment related as well as insurance where the policyholder is outside the NMES sample or outside the household, where the policyholder is over age sixtyfive, and where the policyholder holds employmentrelated insurance but is classified as a nonworking dependent (for example, a student age nineteen to twentythree) or where the insurance is through a retirement job or a job held prior to the last round of the NMES survey. The insurance categories are mutually exclusive. a Not applicable. b Relative standard error exceeds 30 percent.

4 304 HEALTH AFFAIRS Spring (I) 1994 holds. Similarly, just over half of employees and dependents in smallfirm/twoworker households are covered by employmentbased coverage, compared with 90.1 percent of employees and 82.4 percent of dependents in largefirm/twoworker households. Although smallfirm households obtain other private coverage at more than twice the rate of persons in large firms, these purchases fail to compensate for the differences in coverage obtained through the workplace. As a result, employees and dependents in smallfirm/oneworker households are more than twice as likely to be uninsured than their counterparts in large firms, while workers and dependents in smallfirm/twoworker households are uninsured at rates three to four times those of their counterparts in large firms. These data indicate that 24.1 million smallfirm employees and dependents lack employmentrelated coverage and are potential candidates for inclusion in risk pools. Since 7.7 million of these persons are covered by privately purchased insurance, such persons might enter voluntary pooling arrangements if outofpocket premiums were commensurate to those now paid. 2 However, the cost implications of including smallfirm workers and dependents in a risk pool along with those insured by large firms must be considered. Before doing so, we first examine the degree to which employees and dependents of small firms are in "implicit" pooling arrangements through which they obtain coverage from large firms. Extent of implicit risk pooling. Small firms are far less likely than large firms to provide their workers with health insurance, and when coverage is provided, it is likely to be more costly than comparable coverage at large firms. Thus, one would expect twoworker households in which the workers are employed by large and small firms to obtain coverage from the large employer. Exhibit 2 examines sources of employmentrelated coverage in twoworker households. We find that almost threequarters of smallfirm employees in households with a largefirm worker obtain coverage from the large firm. In contrast, only about 17 percent of employees of large firms obtain coverage from small firms (10.7 percent as dependents of smallfirm employees and 6.4 percent with coverage from both large and small firms). Also, 78.1 percent of nonworking dependents with access to coverage from both small and large firms obtain insurance exclusively from large employers. Finally, when we consider the source of coverage for all smallfirm employees and dependents with employmentrelated insurance, we find that over onethird of smallfirm employees (36.4 percent or 5.1 million persons) obtain coverage through their working spouses in large firms, and 46 percent of smallfirm dependents (5.7 million persons) obtain coverage from large firms. In total, 40.8 percent of smallfirm employees and dependents (10.8 million persons) with employmentrelated insurance obtain such coverage

5 DATAWATCH 305 Exhibit 2 Sources Of EmploymentRelated Insurance For TwoWorker Households, By Firm Size, 31 December 1987 Household type/firm size Population (thousands) Both employed by small firm Policyholder Dependent Both employed by large firm Policyholder Dependent Both firms Small firm Employee Dependent 3,554 2, % 43.3% %b 3.2 b Large firm Employee Dependent 24,230 13, % 26.7% Small/large firm Employee Small Large Dependent 6,421 6,645 6, Source: National Medical Expenditure Survey (NMES), Notes: Computations are as follows. First, the number of smallfirm employees with employmentrelated insurance is million (derived from Exhibit 1). Second, million smallfirm employees receive insurance from a large firm (36.4 percent, or 5.164/14.169). Third, of million dependents of smallfirm workers with employmentrelated insurance, million are insured by large firms (45.9 percent, or 5.677/12.370). The result is that 40.8 percent of insured smallfirm workers and dependents are insured by large firms: million/( million million). Insurance categories are mutually exclusive. a Not applicable, b Relative standard error exceeds 30 percent. from large employers, and these persons represent 10.4 percent of all employees and dependents with largefirm coverage. These tabulations suggest that large employers may "subsidize" small employers to a substantial degree and that there is currently a large amount of implicit health insurance pooling between employees of large and small firms. 3 They also suggest that concerns regarding equity in the financing of employmentrelated health insurance are warranted. Health Status By Firm Size The extent of implicit health insurance transfers from large to small employers raises questions about potential cost implications of pooling. To elucidate this issue, we compare health status indicators for employees and their dependents according to the worker's firm size and the source of health insurance for the worker and the dependent. Employees. Comparisons of employee health status by firm size alone fail to reveal broad differences (Exhibit 3). Only total health care expenditures ($1,033 for employees in large firms and $890 for those in small firms) vary widely. This disparity, however, most likely reflects the differential rates of insurance coverage between employees in small and large firms (see

6 306 HEALTH AFFAIRS Spring (I) 1994 Exhibit 3 Health Status Of Employees, By Firm Size And Health Insurance Status, 1987 Size of firm/ insurance status Employed by a Large firm Small firm Population (thousands) 74,407 29,860 Largefirm insurance large firm 51,428 small firm 4,677 Smallfirm insurance small firm 8,831 No smallfirm insurance small firm 13,267 Dual coverage from large firms Largefirm employee 6,595 Uninsured large firm 7,745 small firm 7,539 Other private insurance large firm 2,273 small firm 4,785 Public coverage large firm 1,545 small firm 943 Average number of bed days b Percent fair or poor health 10.8% Percent chronic health conditions 29.9% Functional health Total expenditures $1, Source: National Medical Expenditure Survey (NMES), Notes: "Other private insurance" includes policyholders or dependents of insurance that is purchased directly from an insurance company or through a group that is not employment related. Adult chronic health conditions include arthritis, heart disease, high blood pressure, cancer, gall bladder disease, diabetes, rheumatism, emphysema, arteriosclerosis, and other conditions; children's chronic conditions include asthma, allergies, chronic otitis media, digestive problems, and heart problems. Functional health is a scaled variable summarizing limitations in mobility and restrictions in daily activities. Increased values of this variable correspond with worse health. Insurance categories are mutually exclusive. a Total includes some employees in categories not shown in Exhibit 3. b Relative standard error exceeds 30 percent. 1, , , ,794 1,152 Exhibit 1). Using the coefficient of variation (the ratio of the standard deviation of expenditures to mean expenditures) to obtain an indication of the variation in health expenditures, and hence the "riskiness" of insuring specific groups of employees, we find no evidence that smallfirm employees exhibit more variability in their expenditures than largefirm employees

7 DATAWATCH 307 (data not shown). When both firm size and insurance status are considered, however, some striking results emerge, with direct implications for the cost of pooling workers from small and large firms. First, we find no statistically significant differences between the health status measures (including expenditures) for large and smallfirm employees covered by largefirm insurance (the difference between percentage with chronic conditions is significant only at the.10 level). Thus, implicit pooling of large and smallfirm employees, based on these dimensions of health status, does not raise the average health care expenditures of employees in large firms. In addition, the variation in spending of smallfirm employees covered by largefirm insurance is about onefifth less than that of largefirm employees, consistent with the notion that the former are no more risky to insure than the latter. Finally, to draw further inferences regarding the cost implications of including all smallfirm employees in a risk pool with insured largefirm employees (as might occur under the regional health alliances proposed by the Clinton plan), we compare the health status of the latter to the remaining groups of smallfirm employees. We find that employees insured by small firms appear to be more favorable health risks than largefirm employees with largefirm coverage: Average bed days and the percentage reporting fair/poor health are lower for the former, and there are no differences in the remaining health status measures or in spending levels. 4 These smallfirm employees also show less variation in spending and are less likely than largefirm employees with largefirm insurance to have arthritis or emphysema (the latter significant at the.10 level; data for specific conditions are not shown). Other comparisons of health status between insured largefirm employees and the remaining groups of smallfirm employees in Exhibit 3 also show that the latter are in no worse health than those employed and insured by large firms. Nonworking dependents. Consideration of the health status of nonworking dependents of small and largefirm employees, disaggregated into adults and children under age eighteen, yields findings similar to those obtained for employees (Exhibit 4). We find no significant differences in any of the health status measures or in any specific chronic condition between adult dependents whose spouses are employed in either small or large firms. Among smallfirm adult dependents, those with smallfirm insurance, those with other private coverage, and those who are uninsured are in no worse health than are largefirm dependents with largefirm insurance. 5 Finally, in data not presented, we find no consistent pattern to support the hypothesis that implicit pooling raises the average health care costs of children. These comparisons suggest that current implicit pooling, or potentially including all smallfirm employees and dependents in a risk

8 308 HEALTH AFFAIRS Spring (I) 1994 Exhibit 4 Health Status Of Nonworking Dependents Age Eighteen Or Older, By Firm Size And Health Insurance Status, 1987 Size of firm/ Population insurance status (thousands) Dependent of a Largefirm employee (LFE) 14,352 Smallfirm employee (SFE) 5,610 Average number of bed days Percent fair or poor health 16.9% 17.0 Percent chronic health conditions 31.1% 32.8 Functional health Total expenditures $1,752 1,779 Largefirm insurance Dependent of LFE 9,444 Smallfirm insurance Dependent of SFE 1,568 No smallfirm insurance Dependent of SFE c 2, b ,795 2,057 1,145 Uninsured Dependent of LFE 1,350 Dependent of SFE 1, b , Other private insurance Dependent of LFE 634 Dependent of SFE 1, b 3.1 b l,515 b 1,108 Public coverage Dependent of LFE b ,706 Source: National Medical Expenditure Survey (NMES), Notes: "Other private insurance" includes policyholders or dependents of insurance that is purchased directly from an insurance company or through a group that is not employment related. Insurance categories are mutually exclusive. a Total includes some employees in categories not shown in Exhibit 4. b Relative standard error exceeds 30 percent. c Includes dependents of smallfirm employees with public coverage not shown separately. pool with those insured by large firms, would not raise the per capita medical care costs of the group. Adverse health risks and smallgroup market segmentation. A number of observers have alleged that the risk selection practices of insurers segment the smallgroup market so that only persons who are favorable health risks obtain employmentrelated insurance. 6 We examine this possibility in two ways. First, we consider whether employees and dependents with coverage from their small firms are in better health than are those who have not obtained such coverage. Next, we examine whether employees and dependents insured by their small firms are in better health than are smallfirm employees and dependents who have purchased private insurance when workrelated coverage has not been available (thus revealing strong preferences for coverage, which may be characteristic of adverse health risks). 7 Results from these comparisons support the hypothesis of smallgroup market segmentation. We find smallfirm employees with employment

9 DATAWATCH 309 related coverage to be in better health than those without smallfirm insurance (Exhibit 3). The former were less likely to report their health as fair or poor; had fewer bed days; had better functional health status; and were less likely to have arthritis (significant at.10 level), cancer (significant at.10 level), arteriosclerosis, rheumatism, and emphysema. These are common preexisting conditions that may preclude enrollment in health plans. 8 We also find that smallfirm adult dependents with employmentrelated coverage may be more favorable health risks than those without such coverage: The former were less likely to be in fair or poor health, had better functional health, and were less likely to have diabetes and rheumatism. We observe no differences in health status between children with and without smallfirm insurance. The second set of comparisons also reveals that smallfirm employees covered by smallfirm insurance were less likely than smallfirm workers who purchased private coverage to be in fair or poor health. Although there were no differences among the other health status measures in Exhibit 3, we find that smallfirm employees who purchased private coverage show much more variation in their spending levels than do those who obtained coverage directly from small firms, so that the former appear more risky to insure. Employees insured by their small firms also were less likely than those who purchased private coverage to have arthritis, cancer, arteriosclerosis (significant at.10 level), rheumatism, and emphysema. 9 In contrast, smallfirm adult dependents with coverage through small firms do not appear to be in better health than are those with privately purchased coverage. The only differences found were that the former were less likely than the latter to have a chronic health condition (Exhibit 4) and to have arthritis (both significant at.10 level). Comparisons between children insured by small firms and those with other private coverage do not reveal any differences in health status. 10 In sum, the differences in health status between those insured by small firms and other smallfirm employees and dependents support allegations that the smallgroup market may be segmented so that employees who obtain smallfirm insurance are viewed as more favorable health risks. 11 Cost Of Pooling Exhibit 5 examines how pooling additional individuals with those insured by largefirm insurance might affect average medical spending for the group. The predictions of per capita medical expenditures for these additional enrollees were obtained by applying a twopart econometric model of medical expenditures estimated on the sample of current largefirm enrollees. The first part of the model estimates the probability of incurring a

10 310 HEALTH AFFAIRS Spring (I) 1994 Exhibit 5 Predicted Expenditures By Current Insurance Status, Employment Status, And Dependent Status, 1987 Employees Population Adults (age 18 and older) (thousands) Covered by largefirm insurance 63,087 Smallfirm employee 5,114 Largefirm employee 57,973 Smallfirm employees and dependents a Uninsured 7,398 Covered by other private insurance 5,204 Covered by public insurance 1,893 Covered by small firm insurance 9,410 Largefirm employee Uninsured Children (age 17 and younger) Covered by largefirm insurance Smallfirm dependents a Uninsured Covered by other private insurance Covered by public insurance Covered by small firm insurance 7,574 Predicted expenditure $1,094(15.25) 1,021 (34.28) 1,100(16.02) 790(34.11) 948(55.81) 1,084(62.78) 837 (23.33) 876 (37.65) _ Dependents Population (thousands) 10,229 1,528 1, ,568 30,150 3,222 1,565 1,197 3,837 Predicted expenditure $2,032(119.53) 1,343(170.79) 2,202 (402.69) 3,070 (595.87) 1,856(210.00) 680(12.87) 501 (28.72) 797 (82.75) 637(123.62) 644 (23.09) Source: National Medical Expenditure Survey (NMES), Notes: Standard errors are in parentheses. "Other private insurance" includes policyholders or dependents of insurance that is purchased directly from an insurance company or through a group that is not employment related. The insurance categories are not mutually exclusive. a Dependents of oneworker and twoworker smallemployer households. medical expense via a probit equation, and the second part estimates medical expenditures for the sample of individuals with medical expenses via an ordinary least squares regression. 12 The model is estimated separately for individuals age eighteen or older and for those under eighteen. Predicted expenditures in Exhibit 5 assume that all individuals have largefirm insurance, are insured all year, and have no other insurance. Overall, the results indicate that including additional groups of smallfirm employees and dependents in the current pool of largefirm enrollees would not increase the per capita spending (and hence the premiums) of the latter. Predicted expenditures for 1987 average $1,066 for enrollees with largefirm insurance and $933 for newly enrolled smallfirm employees and dependents, and yield an overall average of $1,025. Disaggregating, we find that predicted expenditures for small and largefirm employees with largefirm insurance ($1,021 and $1,100, respectively) are not significantly different, which is consistent with earlier findings of no

11 DATAWATCH 311 differences in their health status. Smallfirm employees with public insurance would face expenditures no different from employees currently insured by large firms ($1,084 compared with $1,094), and their predicted expenditures show less variability than do those for employees with largefirm insurance. Smallfirm employees who are uninsured or have other private insurance would face lower expenditures than all employees who currently have largefirm coverage ($790 and $948 compared with $1,094), as would those with smallfirm insurance ($837). In addition, uninsured largefirm employees would experience lower expenditures once covered than those employees who currently have largefirm insurance ($876 compared with $1,094). The lower predicted expenditures for uninsured employees are consistent with the work of Susan Marquis and Ellen Harrison, who found that within the RAND Health Insurance Experiment, annual spending for the previously uninsured was less than that for persons previously covered by their own employmentrelated plan (except for mental health spending). Adult nonworking dependents, who are disproportionately female, have predicted expenditures that are higher and more variable than those of their employed counterparts. The predicted expenditures of smallfirm dependents who are currently uninsured ($1,343) are lower than all other categories (the comparison with smallfirm dependents covered by smallfirm insurance is significant only at the.10 level). Smallfirm dependents with other private insurance or with smallfirm insurance would have expenditures that are not statistically different from those of dependents who currently have largefirm insurance ($2,202 and $1,856, compared with $2,032). Those with public insurance would have higher expenditures than dependents with largefirm coverage ($3,070 compared with $2,032), but this difference was significant only at the.10 level. Finally, adding children to the pool of largefirm enrollees either would decrease or would have no effect on per capita medical expenditures within that age category. Children of smallfirm workers who are currently uninsured have lower predicted expenditures ($501) than those who are currently insured by large firms ($680). We find no differences between predicted mean expenditures for children of smallfirm workers with smallfirm coverage, other private coverage, or public coverage and those covered by largefirm insurance. However, children with smallfirm insurance, like their adult counterparts, show less variation in predicted expenditures than do children with largefirm insurance. In contrast to adults, predicted expenditures for children covered by public insurance are more variable than are predicted expenditures for children in other insurance categories.

12 312 HEALTH AFFAIRS Spring (I) 1994 Policy Implications Reform of the U.S. health care system is likely to rely upon a variety of riskpooling arrangements to ensure that individuals and families have access to affordable health insurance. Since employees of small firms and their dependents make up a significant proportion of the uninsured population, their inclusion is of particular importance to the success of any pooling mechanism. However, these persons often are perceived to be adverse health risks. Consequently, there is concern that their inclusion in the risk pool will raise per capita health care costs, which, at best, will be borne by all members of the risk pool via higher premiums or, at worst, will threaten the longrun stability of the pooling arrangement. Analyses of data from the 1987 NMES indicate that a fair degree of implicit risk pooling between employees and dependents of small and large firms already exists. We find that 36.4 percent of insured smallfirm employees with employmentrelated insurance and 40.8 percent of such employees and their dependents obtain their coverage from a large firm. The extent of such implicit pooling some 10.8 million smallfirm employees and dependents representing 10.4 percent of all persons with largefirm insurance and the accompanying shift in responsibility for health insurance from small to large employers suggests that a mandate requiring all employers to contribute to the purchase of health insurance could yield greater equity in the financing of health care. Our results indicate that smallfirm employees and dependents subject to implicit pooling are in no worse health than are their counterparts in large firms and therefore do not increase the average health care costs of the largefirm employees or dependents who form the basis of the pool. In the context of a more general pooling arrangement between largefirm employees and all smallfirm workers, our multivariate analyses reveal that if smallfirm employees and dependents obtained largefirm insurance, their medical expenditures would be no greater than those of employees and dependents of large firms. Thus, on both counts, we find little support for the hypothesis that employees and dependents of small firms are likely to be adverse health risks should they obtain coverage comparable to that held by largefirm employees. Our empirical work also points to imperfections in the market for smallgroup insurance. We find that smallfirm employees who obtain coverage from their employers appear to be among the most favorable health risks. This result, together with our finding that smallfirm employees without such coverage may be adverse health risks, is consistent with allegations that insurers may have segmented the smallgroup market and selected only those firms whose employees are expected to have low health care costs.

13 DATAWATCH 313 Our findings and those reported by David Helms and colleagues offer preliminary evidence that including employees of small firms in a health insurance pool with those of large firms, as in the regional health alliances proposed by the Clinton administration, need not have deleterious consequences for health care expenditures and, therefore, for health insurance premiums. 13 Additional research of this nature can make an important contribution to the health care reform debate by clarifying the cost implications of using risk pooling to expand health insurance coverage. An earlier version of this paper was presented at the Annual Meeting of the Eastern Economic Association, 17 March 1993, in Washington, D.C. The views expressed in this DataWatch are those of the authors, and no official endorsement by the Agency for Health Care Policy and Research (AHCPR) or the Department of Health and Human Services is intended or should be inferred. We thank Bill Custer of the Employee Benefit Research Institute and anonymous referees for helpful comments, and Steve Cohen of AHCPR for advice on statistical issues. Gary Moore of Social and Scientific Systems provided superb programming assistance. NOTES 1. See The President's Comprehensive Health Reform Program ( 6 February 1992 ) of the Bush administration; P.M. Ellwood, A.C. Enthoven, and L.M. Etheredge, "The Jackson Hole Initiatives for a Twentyfirst Century American Health Care System," Health Economics (October 1992): ; and U.S. General Accounting Office, Access to Health Insurance: State Efforts to Assist Small Businesses, GAO/HRD9290 (Washington: U.S. Government Printing Office, May 1992). Space limitations preclude full discussion of the empirical literature and bibliographic references here. This is available from the authors at the Agency for Health Care Policy and Research, Center for General Health Services Intramural Research, 2101 East Jefferson Street, Suite 500, Rockville, Maryland The 24.1 million figure is derived by applying percentages from the "public only" and "uninsured" columns of Exhibit 1 to rows corresponding to smallfirm employees and dependents and small/largefirm employees and dependents. The figure also includes smallfirm employees and dependents with other private coverage (7.7 million persons) obtained from Exhibits 3 and 4 and from unpublished data on children with such coverage. 3. An explicit estimate of the subsidy from large to smallfirm employers requires knowledge of the extent to which largefirm employers pay the marginal cost of family coverage. 4. This comparison does not account for differences in benefits between small and large firms. Smallfirm employees might incur greater expenditures if their coverage was commensurate with that of large firms. We address this issue in our simulations. 5. Adult dependents insured by smallfirm workers had better functional health (significant at the.10 level) and were less likely to have diabetes than adult dependents with largefirm coverage. There were no differences in any other health status measure or in average expenditures. 6. J. Kosterlitz, "Unrisky Business," National Journal (6 April 1991): 796; M.A. Hall, "Reforming the Health Insurance Market for Small Businesses," The New England Journal of Medicine (20 February 1992): ; and G. Kolata, "New Insurance Practices: Dividing the Sick from the Well," The New York Times, 4 March 1992, Al,

14 314 HEALTH AFFAIRS Spring (I) 1994 A In Exhibits 3 and 4 "other private" coverage refers only to insurance that is obtained directly from an insurance company or through a group that is not employment related. Note also that the uninsured also may be adverse health risks. Some may undervalue or not be able to afford coverage. Those with preexisting health conditions may be denied coverage. 8. We found no difference in rates of diabetes, heart disease, hypertension, or gall bladder disease between these groups. For a list of preexisting conditions, see U.S. Congress Office of Technology Assessment, Medical Testing and Health Insurance, OTAH384 (Washington: U.S. GPO, August 1988). 9. We also applied a more rigorous Scheffe test for multiple comparisons to examine whether the differences in these chronic conditions were significant when tested simultaneously across groups of smallfirm employees. With this test, only differences in rates of arthritis and rheumatism retained significance. However, the Scheffe test does not negate our earlier comparisons between smallfirm employees insured by their firms and all other smallfirm employees. We did not find compelling evidence that uninsured smallfirm employees are adverse health risks compared with smallfirm employees with employmentrelated coverage. The few employees in small firms covered by public insurance were found to be in worse health than their counterparts covered by employmentrelated insurance. 10. We did not find uninsured adult dependents of smallfirm employees to be in worse health than those with smallfirm coverage. We found that the few largefirm dependents with public insurance were in somewhat worse health than dependents with largefirm insurance: The latter were more likely to report their health as fair or poor, had worse functional health, and had more bed days on average and higher total expenditures (both significant at the.10 level). 11. Our results are consistent with M.S. Marquis and E.R. Harrison, "Health Status and Health Care Use of Uninsured Workers," in Health Benefits and the Workforce (Washington: U.S. Department of Labor, 1992), Per capita medical expenditures were estimated for additional enrollees not covered by largefirm insurance by applying their characteristics to the estimating equations. Since persons with largefirm insurance could have obtained such coverage in anticipation of high health care use, applying coefficients derived from the behavior of largefirm employees to other groups could lead to biased predictions. We address such potential selection bias by directly including measures of an employee's attitude toward risk and health insurance as well as measures of health status as explanatory variables in the model. Finally, our estimated twopart model does not account for possible transitory responses to improved coverage (from pentup demand for medical care) by the uninsured or by those whose coverage is less generous than largefirm insurance. We justify this approach by noting that Marquis and Harrison conclude that such responses by the newly insured are likely to be small (other than for mental health care use) and that such persons are likely to use fewer services than the currently insured. 12. Probit estimates of the probability of incurring medical expenditures are combined with ordinary least squares estimates of expenditures to yield predicted expenditures for each person in the sample. The estimating equations control for age, sex, race, education, income, marital status, location, health insurance source, employee or dependent status, measures of health status, and attitudes toward risk. Estimates of the twopart model are available from the authors upon request. 13. W.D. Helms, A.K. Gauthier, and D.M. Campion, "Mending the Flaws in the Small Group Market," Health Affairs (Summer 1992): 727.

Alt h ough p olicyma ker s have advocated varying approaches

Alt h ough p olicyma ker s have advocated varying approaches Assessing The Impact Of Health Plan Choice Having a choice of health plans is associated with insurance take-up rates, satisfaction with care, and HMO enrollment. by Barbara Steinberg Schone and Philip

More information

About two-thirds of americans who become uninsured do so when

About two-thirds of americans who become uninsured do so when Health Insurance For Workers Who Lose Jobs: Implications For Various Subsidy Schemes Subsidies for continuation coverage would benefit few of the uninsured; subsidies to all low-income people who leave

More information

In the coming months Congress will consider a number of proposals for

In the coming months Congress will consider a number of proposals for DataWatch The Uninsured 'Access Gap' And The Cost Of Universal Coverage by Stephen H. Long and M. Susan Marquis Abstract: This study estimates the effect of universal coverage on the use and cost of health

More information

KEY WORDS: Microsimulation, Validation, Health Care Reform, Expenditures

KEY WORDS: Microsimulation, Validation, Health Care Reform, Expenditures ALTERNATIVE STRATEGIES FOR IMPUTING PREMIUMS AND PREDICTING EXPENDITURES UNDER HEALTH CARE REFORM Pat Doyle and Dean Farley, Agency for Health Care Policy and Research Pat Doyle, 2101 E. Jefferson St.,

More information

UpDate I. SPECIAL REPORT. How Many Persons Are Uninsured?

UpDate I. SPECIAL REPORT. How Many Persons Are Uninsured? UpDate I. SPECIAL REPORT A Profile Of The Uninsured In America by Diane Rowland, Barbara Lyons, Alina Salganicoff, and Peter Long As the nation debates health care reform and Congress considers the president's

More information

Policy Brief. protection?} Do the insured have adequate. The Impact of Health Reform on Underinsurance in Massachusetts:

Policy Brief. protection?} Do the insured have adequate. The Impact of Health Reform on Underinsurance in Massachusetts: protection?} The Impact of Health Reform on Underinsurance in Massachusetts: Do the insured have adequate Reform Policy Brief Massachusetts Health Reform Survey Policy Brief {PREPARED BY} Sharon K. Long

More information

There is a perception that persons with chronic illness are less likely

There is a perception that persons with chronic illness are less likely DataWatch Do HMOs Care For The Chronically Ill? by Teresa Fama, Peter D. Fox, and Leigh Ann White Abstract: This DataWatch refutes the notion that chronic illness is more prevalent among persons covered

More information

HEALTH COVERAGE AMONG YEAR-OLDS in 2003

HEALTH COVERAGE AMONG YEAR-OLDS in 2003 HEALTH COVERAGE AMONG 50-64 YEAR-OLDS in 2003 The aging of the population focuses attention on how those in midlife get health insurance. Because medical problems and health costs commonly increase with

More information

Pathways To Access: Health Insurance, The Health Care Delivery System, And Racial/Ethnic Disparities,

Pathways To Access: Health Insurance, The Health Care Delivery System, And Racial/Ethnic Disparities, Pathways To Access: Health Insurance, The Health Care Delivery System, And Racial/Ethnic Disparities, 1996 1999 Insurance matters, but so do other factors, when it comes to explaining differences in levels

More information

kaiser medicaid commission on and the uninsured How Will Health Reform Impact Young Adults? By Karyn Schwartz and Tanya Schwartz Executive Summary

kaiser medicaid commission on and the uninsured How Will Health Reform Impact Young Adults? By Karyn Schwartz and Tanya Schwartz Executive Summary I S S U E P A P E R kaiser commission on medicaid and the uninsured How Will Health Reform Impact Young Adults? By Karyn Schwartz and Tanya Schwartz Executive Summary May 2010 The health reform law that

More information

Issue Brief. Does Medicaid Make a Difference? The COMMONWEALTH FUND. Findings from the Commonwealth Fund Biennial Health Insurance Survey, 2014

Issue Brief. Does Medicaid Make a Difference? The COMMONWEALTH FUND. Findings from the Commonwealth Fund Biennial Health Insurance Survey, 2014 Issue Brief JUNE 2015 The COMMONWEALTH FUND Does Medicaid Make a Difference? Findings from the Commonwealth Fund Biennial Health Insurance Survey, 2014 The mission of The Commonwealth Fund is to promote

More information

214 Massachusetts Ave. N.E Washington D.C (202) TESTIMONY. Medicaid Expansion

214 Massachusetts Ave. N.E Washington D.C (202) TESTIMONY. Medicaid Expansion 214 Massachusetts Ave. N.E Washington D.C. 20002 (202) 546-4400 www.heritage.org TESTIMONY Medicaid Expansion Testimony before Finance and Appropriations Committee Health and Human Services Subcommittee

More information

HEALTH INSURANCE FOR THE UNEMPLOYED: IS FEDERAL LEGISLATION NEEDED?

HEALTH INSURANCE FOR THE UNEMPLOYED: IS FEDERAL LEGISLATION NEEDED? HEALTH INSURANCE FOR THE UNEMPLOYED: IS FEDERAL LEGISLATION NEEDED? by Alan C. Monheit, Michael M. Hagan, Marc L. Berk, and Gail R. Wilensky Prologue: With more than 10 percent of the work force unemployed

More information

The level of health care spending continues to make headlines,

The level of health care spending continues to make headlines, DataWatch The Concentration Of Health Expenditures: An Update by Marc L. Berk and Alan C. Monheit Abstract: An earlier study tracing trends in health spending from 1928 to 1980 found health expenditures

More information

RURAL BENEFICIARIES WITH CHRONIC CONDITIONS: ASSESSING THE RISK TO MEDICARE MANAGED CARE

RURAL BENEFICIARIES WITH CHRONIC CONDITIONS: ASSESSING THE RISK TO MEDICARE MANAGED CARE RURAL BENEFICIARIES WITH CHRONIC CONDITIO: ASSESSING THE RISK TO MEDICARE MANAGED CARE Kathleen Thiede Call, Ph.D. Division of Health Services Research and Policy School of Public Health University of

More information

How Medicaid Enrollees Fare Compared with Privately Insured and Uninsured Adults

How Medicaid Enrollees Fare Compared with Privately Insured and Uninsured Adults ISSUE BRIEF APRIL 2017 How Medicaid Enrollees Fare Compared with Privately Insured and Uninsured Adults Findings from the Commonwealth Fund Biennial Health Insurance Survey, 2016 Munira Z. Gunja Senior

More information

In 2014 the Affordable Care Act (ACA)

In 2014 the Affordable Care Act (ACA) By John H. Goddeeris, Stacey McMorrow, and Genevieve M. Kenney DATAWATCH Off-Marketplace Enrollment Remains An Important Part Of Health Insurance Under The ACA The introduction of Marketplaces under the

More information

Strategies for Assessing Health Plan Performance on Chronic Diseases: Selecting Performance Indicators and Applying Health-Based Risk Adjustment

Strategies for Assessing Health Plan Performance on Chronic Diseases: Selecting Performance Indicators and Applying Health-Based Risk Adjustment Strategies for Assessing Health Plan Performance on Chronic Diseases: Selecting Performance Indicators and Applying Health-Based Risk Adjustment Appendix I Performance Results Overview In this section,

More information

Po l i c y m a k e r s a t both the federal

Po l i c y m a k e r s a t both the federal Recent Trends In Self-Insured Employer Health Plans A look at the interplay among market forces, regulation, and employers decisions to self-insure. b y M. S u s an M ar q u i s a n d S t e ph e n H. L

More information

Aprimary reason for the relatively low level of health insurance

Aprimary reason for the relatively low level of health insurance DataWatch Small-Business Winners And Losers Under Health Care Reform by Catherine G. McLaughlin, Wendy K. Zellers, and Kevin D. Frick Abstract: To meet its goal of universal health insurance coverage,

More information

The Impact of the Tax System on Health Insurance Coverage

The Impact of the Tax System on Health Insurance Coverage International Journal of Health Care Finance and Economics, 1, 293 304, 2001 C 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. The Impact of the Tax System on Health Insurance Coverage

More information

Uninsured Americans with Chronic Health Conditions:

Uninsured Americans with Chronic Health Conditions: Uninsured Americans with Chronic Health Conditions: Key Findings from the National Health Interview Survey Prepared for the Robert Wood Johnson Foundation by The Urban Institute and the University of Maryland,

More information

Research Brief. Who Are the Uninsured Eligible for Premium Subsidies in the Health Insurance Exchanges?

Research Brief. Who Are the Uninsured Eligible for Premium Subsidies in the Health Insurance Exchanges? Research Brief Findings From HSC NO. 18, DECEMBER 2010 Who Are the Eligible for Premium Subsidies in the Health Insurance Exchanges? BY PETER J. CUNNINGHAM A key provision of the national health reform

More information

Risk selection and risk classification, commonly known as underwriting,

Risk selection and risk classification, commonly known as underwriting, A American MARCH 2009 Academy of Actuaries The American Academy of Actuaries is a national organization formed in 1965 to bring together, in a single entity, actuaries of all specializations within the

More information

HOW WILL UNINSURED CHILDREN BE AFFECTED BY HEALTH REFORM?

HOW WILL UNINSURED CHILDREN BE AFFECTED BY HEALTH REFORM? I S S U E kaiser commission on medicaid and the uninsured AUGUST 2009 P A P E R HOW WILL UNINSURED CHILDREN BE AFFECTED BY HEALTH REFORM? By Lisa Dubay, Allison Cook, Bowen Garrett SUMMARY Children make

More information

More Than One-Quarter of Insured Adults Were Underinsured in 2016

More Than One-Quarter of Insured Adults Were Underinsured in 2016 Exhibit 1 More Than One-Quarter of Insured Adults Were Underinsured in 216 Percent adults ages 19 64 insured all year who were underinsured* 28 22 23 23 2 12 13 1 23 25 21 212 214 216 * Underinsured defined

More information

Health Status, Health Insurance, and Health Services Utilization: 2001

Health Status, Health Insurance, and Health Services Utilization: 2001 Health Status, Health Insurance, and Health Services Utilization: 2001 Household Economic Studies Issued February 2006 P70-106 This report presents health service utilization rates by economic and demographic

More information

Raising The Medicare Eligibility Age: Effects On The Young Elderly

Raising The Medicare Eligibility Age: Effects On The Young Elderly DataWatch Raising The Medicare Eligibility Age: Effects On The Young Elderly To be successful, a raised eligibility age should be accompanied by a Medicare buy-in subsidy for sixty-five- and sixty-six-year-olds.

More information

the working day: Understanding Work Across the Life Course introduction issue brief 21 may 2009 issue brief 21 may 2009

the working day: Understanding Work Across the Life Course introduction issue brief 21 may 2009 issue brief 21 may 2009 issue brief 2 issue brief 2 the working day: Understanding Work Across the Life Course John Havens introduction For the past decade, significant attention has been paid to the aging of the U.S. population.

More information

EXECUTIVE SUMMARY. (2) the individual market for health insurance does a poor job of pooling risk ;

EXECUTIVE SUMMARY. (2) the individual market for health insurance does a poor job of pooling risk ; REPORT OF THE COUNCIL ON MEDICAL SERVICE (A-0) The Effects of Individually Owned Health Insurance on Risk Pooling and Cross-Subsidization (Informational Report) EXECUTIVE SUMMARY A key component of the

More information

Sources of Health Insurance Coverage in Georgia

Sources of Health Insurance Coverage in Georgia Sources of Health Insurance Coverage in Georgia 2007-2008 Tabulations of the March 2008 Annual Social and Economic Supplement to the Current Population Survey and The 2008 Georgia Population Survey William

More information

Reforming Beneficiary Cost Sharing to Improve Medicare Performance. Appendix 1: Data and Simulation Methods. Stephen Zuckerman, Ph.D.

Reforming Beneficiary Cost Sharing to Improve Medicare Performance. Appendix 1: Data and Simulation Methods. Stephen Zuckerman, Ph.D. Reforming Beneficiary Cost Sharing to Improve Medicare Performance Appendix 1: Data and Simulation Methods Stephen Zuckerman, Ph.D. * Baoping Shang, Ph.D. ** Timothy Waidmann, Ph.D. *** Fall 2010 * Senior

More information

Cassidy-Graham Would Unravel Protections for People With Pre-Existing Conditions

Cassidy-Graham Would Unravel Protections for People With Pre-Existing Conditions 820 First Street NE, Suite 510 Washington, DC 20002 Tel: 202-408-1080 Fax: 202-408-1056 center@cbpp.org www.cbpp.org September 26, 2017 Cassidy-Graham Would Unravel Protections for People With Pre-Existing

More information

Issue Brief. Findings From the 2007 EBRI/Commonwealth Fund Consumerism in Health Survey. No March 2008

Issue Brief. Findings From the 2007 EBRI/Commonwealth Fund Consumerism in Health Survey. No March 2008 Issue Brief No. 315 March 2008 Findings From the 2007 EBRI/Commonwealth Fund Consumerism in Health Survey By Paul Fronstin, EBRI, and Sara R. Collins, The Commonwealth Fund Third annual survey This Issue

More information

Supplementary Appendix

Supplementary Appendix Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Sommers BD, Musco T, Finegold K, Gunja MZ, Burke A, McDowell

More information

Modeling Health Reform without the Mandate to Have Coverage. Staff Working Paper #14. John Sheils and Randall Haught

Modeling Health Reform without the Mandate to Have Coverage. Staff Working Paper #14. John Sheils and Randall Haught Modeling Health Reform without the Mandate to Have Coverage Staff Working Paper #14 Prepared by: John Sheils and Randall Haught September 29, 2011 We used the Health Benefits Simulation Model (HBSM) to

More information

Racial and Ethnic Disparities in Access to and Utilization of Care among Insured Adults

Racial and Ethnic Disparities in Access to and Utilization of Care among Insured Adults Racial and Ethnic Disparities in Access to and Utilization of Care among Insured Adults Samantha Artiga, Katherine Young, Rachel Garfield, and Melissa Majerol Through its coverage expansions, the Affordable

More information

Large out- of-pocket expenditures for medical services. Out-Of-Pocket Medical Spending For Care Of Chronic Conditions

Large out- of-pocket expenditures for medical services. Out-Of-Pocket Medical Spending For Care Of Chronic Conditions O U T - O F - P O C K E T S P E N D I N G Out-Of-Pocket Medical Spending For Care Of Chronic Conditions Chronically ill persons who are uninsured have higher out-of-pocket medical spending and are five

More information

The Economic Downturn and Changes in Health Insurance Coverage, John Holahan & Arunabh Ghosh The Urban Institute September 2004

The Economic Downturn and Changes in Health Insurance Coverage, John Holahan & Arunabh Ghosh The Urban Institute September 2004 The Economic Downturn and Changes in Health Insurance Coverage, 2000-2003 John Holahan & Arunabh Ghosh The Urban Institute September 2004 Introduction On August 26, 2004 the Census released data on changes

More information

Individual Health Insurance Market

Individual Health Insurance Market s n a p s h o t Individual 2005 Introduction In 2004, approximately 6.5 million Californians were uninsured. Most are employed but work for firms that don t offer insurance. Individual insurance may be

More information

NBER WORKING PAPER SERIES

NBER WORKING PAPER SERIES NBER WORKING PAPER SERIES HEALTH REFORM, HEALTH INSURANCE, AND SELECTION: ESTIMATING SELECTION INTO HEALTH INSURANCE USING THE MASSACHUSETTS HEALTH REFORM Martin B. Hackmann Jonathan T. Kolstad Amanda

More information

Health Insurance Reform and Its Effects on the Small Employer Market: A Review of H.R. 3626

Health Insurance Reform and Its Effects on the Small Employer Market: A Review of H.R. 3626 University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Journal of Actuarial Practice 1993-2006 Finance Department 1994 Health Insurance Reform and Its Effects on the Small Employer

More information

The Purchase of Health Insurance by California s Non-Poor Uninsured: How Can It Be Increased?

The Purchase of Health Insurance by California s Non-Poor Uninsured: How Can It Be Increased? Policy Analysis Brief May 2004 C Series No. 1 The Purchase of Health Insurance by California s Non-Poor Uninsured: How Can It Be Increased? Claudia L. Schur, Jacob J. Feldman, and Lan Zhao Why Focus on

More information

Early Experience With High-Deductible and Consumer-Driven Health Plans: Findings From the EBRI/ Commonwealth Fund Consumerism in Health Care Survey

Early Experience With High-Deductible and Consumer-Driven Health Plans: Findings From the EBRI/ Commonwealth Fund Consumerism in Health Care Survey Issue Brief No. 288 December 2005 Early Experience With High-Deductible and Consumer-Driven Health Plans: Findings From the EBRI/ Commonwealth Fund Consumerism in Health Care Survey by Paul Fronstin, EBRI,

More information

In each of t he last three years of his presidency, Bill. Betwixt And Between: Targeting Coverage Reforms To Those Approaching Medicare

In each of t he last three years of his presidency, Bill. Betwixt And Between: Targeting Coverage Reforms To Those Approaching Medicare M E D I C A R E B U Y - I N Betwixt And Between: Targeting Coverage Reforms To Those Approaching Medicare Should eligibility for a Medicare buy-in be based on age or ability to pay? by Dennis G. Shea,

More information

Exhibit ES-1. Nearly Three of Five Adults Who Lost a Job with Health Benefits in Past Two Years Became Uninsured

Exhibit ES-1. Nearly Three of Five Adults Who Lost a Job with Health Benefits in Past Two Years Became Uninsured Exhibit ES-1. Nearly Three of Five Adults Who Lost a Job with Health Benefits in Past Two Years Became Uninsured Percent of adults ages 19 64 Total

More information

Profile of Ohio s Medicaid-Enrolled Adults and Those who are Potentially Eligible

Profile of Ohio s Medicaid-Enrolled Adults and Those who are Potentially Eligible Thalia Farietta, MS 1 Rachel Tumin, PhD 1 May 24, 2016 1 Ohio Colleges of Medicine Government Resource Center EXECUTIVE SUMMARY The primary objective of this chartbook is to describe the population of

More information

Nongroup insurance, also referred to as individual insurance, covers

Nongroup insurance, also referred to as individual insurance, covers The Effect Of Tax Credits For Nongroup Insurance On Health Spending By The Uninsured Proposed tax credits will hit older and sicker Americans hardest, in terms of raising their spending for health care

More information

Medicare Policy RAISING THE AGE OF MEDICARE ELIGIBILITY. A Fresh Look Following Implementation of Health Reform JULY 2011

Medicare Policy RAISING THE AGE OF MEDICARE ELIGIBILITY. A Fresh Look Following Implementation of Health Reform JULY 2011 K A I S E R F A M I L Y F O U N D A T I O N Medicare Policy RAISING THE AGE OF MEDICARE ELIGIBILITY A Fresh Look Following Implementation of Health Reform JULY 2011 Originally released in March 2011, this

More information

Employer-Sponsored Health Insurance in the Minnesota Long-Term Care Industry:

Employer-Sponsored Health Insurance in the Minnesota Long-Term Care Industry: Minnesota Department of Health Employer-Sponsored Health Insurance in the Minnesota Long-Term Care Industry: Status of Coverage and Policy Options Report to the Minnesota Legislature January, 2002 Health

More information

Exhibit 1. The Impact of Health Reform: Percent of Women Ages Uninsured by State

Exhibit 1. The Impact of Health Reform: Percent of Women Ages Uninsured by State Exhibit 1. The Impact of Health Reform: Percent of Women Ages 19 64 Uninsured by State 2008 09 2019 (estimated) OR CA 23% WA NV 23% AK ID AZ UT MT WY CO NM 28% ND SD NE KS TX 31% OK MN IA MO WI AR 25%

More information

Optimal Risk Adjustment. Jacob Glazer Professor Tel Aviv University. Thomas G. McGuire Professor Harvard University. Contact information:

Optimal Risk Adjustment. Jacob Glazer Professor Tel Aviv University. Thomas G. McGuire Professor Harvard University. Contact information: February 8, 2005 Optimal Risk Adjustment Jacob Glazer Professor Tel Aviv University Thomas G. McGuire Professor Harvard University Contact information: Thomas G. McGuire Harvard Medical School Department

More information

The difference between truth and fiction," observed Mark Twain, "is

The difference between truth and fiction, observed Mark Twain, is DataWatch The Health Insurance Picture In 99: Some Rare Good News by Jon Gabel, Derek Liston, Gail Jensen, and Jill Marsteller Abstract: Based on a national survey conducted in spring 99 of,95 private

More information

More than 1.3 million new cancer cases are expected in 2003,

More than 1.3 million new cancer cases are expected in 2003, Insurance & Cancer Health Insurance And Spending Among Cancer Patients Nonelderly cancer patients without insurance are at risk for receiving inadequate cancer care, especially if they are Hispanic, this

More information

Social Security and Saving: A Comment

Social Security and Saving: A Comment Social Security and Saving: A Comment Dennis Coates Brad Humphreys Department of Economics UMBC 1000 Hilltop Circle Baltimore, MD 21250 September 17, 1997 We thank our colleague Bill Lord, two anonymous

More information

America s Uninsured Population

America s Uninsured Population STATEMENT OF THE AMERICAN COLLEGE OF PHYSICIANS AMERICAN SOCIETY OF INTERNAL MEDICINE TO THE COMMITTEE ON WAYS AND MEANS, SUBCOMMITTEE ON HEALTH UNITED STATES HOUSE OF REPRESENTATIVES APRIL 4, 2001 The

More information

Employment protection: Do firms perceptions match with legislation?

Employment protection: Do firms perceptions match with legislation? Economics Letters 90 (2006) 328 334 www.elsevier.com/locate/econbase Employment protection: Do firms perceptions match with legislation? Gaëlle Pierre, Stefano Scarpetta T World Bank, 1818 H Street NW,

More information

How Does The Employer Contribution For The Federal Employees Health Benefits Program Influence Plan Selection?

How Does The Employer Contribution For The Federal Employees Health Benefits Program Influence Plan Selection? MarketWatch MarketWatch How Does The Employer Contribution For The Federal Employees Health Benefits Program Influence Plan Selection? The design of competitive health reforms involves a trade-off between

More information

Competing health plans in the United States and several. Risk Sharing Between Competing Health Plans And Sponsors

Competing health plans in the United States and several. Risk Sharing Between Competing Health Plans And Sponsors R I S K S H A R I N G Risk Sharing Between Competing Health Plans And Sponsors Analysis of Dutch health plan data points to ways in which payment systems can be improved in other countries. by Erik M.

More information

Coverage Expansion [Sections 310, 323, 324, 341, 342, 343, 344, and 1701]

Coverage Expansion [Sections 310, 323, 324, 341, 342, 343, 344, and 1701] Summary of the U.S. House of Representatives Health Reform Bill October 2009 The following summarizes the major hospital and health system provisions included in the U.S. House of Representatives health

More information

The Costs of Covering Mental Health and Substance Abuse Care at the Same Level as Medical Care in Private Insurance Plans

The Costs of Covering Mental Health and Substance Abuse Care at the Same Level as Medical Care in Private Insurance Plans T E S T I M O N Y R The Costs of Covering Mental Health and Substance Abuse Care at the Same Level as Medical Care in Private Insurance Plans Roland Sturm Presented to the Health Insurance Committee, National

More information

In the face of the growing problem of uninsurance, U.S. policymakers

In the face of the growing problem of uninsurance, U.S. policymakers DataWatch Patterns Of Individual Health Insurance Coverage, 1996 2000 Understanding the dynamics of this volatile market will improve the chances that future reform efforts will succeed. by Erika C. Ziller,

More information

It is well documented that having insurance increases medical care use.1

It is well documented that having insurance increases medical care use.1 DataWatch Covering The Uninsured: How Much Would It Cost? The cost of additional medical care used by newly insured Americans would be lower than most people think, this analysis confirms. by Jack Hadley

More information

No K. Swartz The Urban Institute

No K. Swartz The Urban Institute THE SURVEY OF INCOME AND PROGRAM PARTICIPATION ESTIMATES OF THE UNINSURED POPULATION FROM THE SURVEY OF INCOME AND PROGRAM PARTICIPATION: SIZE, CHARACTERISTICS, AND THE POSSIBILITY OF ATTRITION BIAS No.

More information

H.R American Health Care Act of 2017

H.R American Health Care Act of 2017 CONGRESSIONAL BUDGET OFFICE COST ESTIMATE May 24, 2017 H.R. 1628 American Health Care Act of 2017 As passed by the House of Representatives on May 4, 2017 SUMMARY The Congressional Budget Office and the

More information

Delaying the Individual Mandate Would Disrupt Overall Implementation of the Affordable Care Act

Delaying the Individual Mandate Would Disrupt Overall Implementation of the Affordable Care Act Delaying the Individual Mandate Would Disrupt Overall Implementation of the Affordable Care Act Linda J. Blumberg and John Holahan September 2013 Introduction A recent bill, H.R. 2668, passed by the House

More information

The Impact of State Dependent Coverage Expansions on Young Adult Insurance Status: Further Analysis

The Impact of State Dependent Coverage Expansions on Young Adult Insurance Status: Further Analysis April 2010 The Impact of State Dependent Coverage Expansions on Young Adult Insurance Status: Further Analysis Joel C. Cantor, Sc.D.,* Alan C. Monheit, Ph.D.,*^, Dina Belloff, M.A.*, Derek DeLia, Ph.D,*,

More information

HEALTH REFORM, HEALTH INSURANCE, AND SELECTION: ESTIMATING SELECTION INTO HEALTH INSURANCE USING THE MASSACHUSETTS HEALTH REFORM

HEALTH REFORM, HEALTH INSURANCE, AND SELECTION: ESTIMATING SELECTION INTO HEALTH INSURANCE USING THE MASSACHUSETTS HEALTH REFORM HEALTH REFORM, HEALTH INSURANCE, AND SELECTION: ESTIMATING SELECTION INTO HEALTH INSURANCE USING THE MASSACHUSETTS HEALTH REFORM By Martin B. Hackmann, Jonathan T. Kolstad, and Amanda E. Kowalski January

More information

Effects of the Oregon Minimum Wage Increase

Effects of the Oregon Minimum Wage Increase Effects of the 1998-1999 Oregon Minimum Wage Increase David A. Macpherson Florida State University May 1998 PAGE 2 Executive Summary Based upon an analysis of Labor Department data, Dr. David Macpherson

More information

Assessing Policy Options for the Non-Group Health Insurance Market:

Assessing Policy Options for the Non-Group Health Insurance Market: The Institute for Health, Health Care Policy and Aging Research Assessing Policy Options for the Non-Group Health Insurance Market: Simulation of the Impact of Modified Community Rating in the New Jersey

More information

Steven B. Cohen, Jill J. Braden, Agency for Health Care Policy and Research Steven B. Cohen, AHCPR, 2101 E. Jefferson St., Rockville, Maryland

Steven B. Cohen, Jill J. Braden, Agency for Health Care Policy and Research Steven B. Cohen, AHCPR, 2101 E. Jefferson St., Rockville, Maryland ALTERNATIVE OPTIONS FOR STATE LEVEL ESTIMATES IN THE NATIONAL MEDICAL EXPENDITURE SURVEY Steven B. Cohen, Jill J. Braden, Agency for Health Care Policy and Research Steven B. Cohen, AHCPR, 2101 E. Jefferson

More information

Diminishing Offer and Coverage Rates Among Private Sector Employees

Diminishing Offer and Coverage Rates Among Private Sector Employees Diminishing Offer and Coverage Rates Among Private Sector Employees Gary Claxton, Larry Levitt, Anthony Damico The recent release of 2015 information from the Insurance Component of the Medical Expenditure

More information

The creation of health insurance exchanges. How Choices In Exchange Design For States Could Affect Insurance Premiums And Levels Of Coverage

The creation of health insurance exchanges. How Choices In Exchange Design For States Could Affect Insurance Premiums And Levels Of Coverage velop and operate exchanges on their own and for those choosing to develop and operate exchanges jointly with the federal government. 1,2 The act s flexibility allows each state to tailor its exchanges

More information

The Financial Burden of Medical Spending Among the Non-Elderly, 2010

The Financial Burden of Medical Spending Among the Non-Elderly, 2010 ACA Implementation Monitoring and Tracking The Financial Burden of Medical Spending Among the Non-Elderly, 2010 November 2012 Kyle J. Caswell Timothy Waidmann Linda J. Blumberg The Urban Institute INTRODUCTION

More information

How Will the Uninsured Be Affected by Health Reform?

How Will the Uninsured Be Affected by Health Reform? How Will the Uninsured Be Affected by Health Reform? Childless Adults Timely Analysis of Immediate Health Policy Issues August 2009 Lisa Dubay, Allison Cook and Bowen Garrett How Will Uninsured Childless

More information

HEALTH INSURANCE COVERAGE AMONG WORKERS AND THEIR DEPENDENTS IN NEW YORK,

HEALTH INSURANCE COVERAGE AMONG WORKERS AND THEIR DEPENDENTS IN NEW YORK, HEALTH INSURANCE COVERAGE AMONG WORKERS AND THEIR DEPENDENTS IN NEW YORK, 2001 2002 UNITED HOSPITAL FUND Danielle Holahan Elise Hubert URBAN INSTITUTE John Holahan Linda Blumberg HEALTH INSURANCE COVERAGE

More information

Older Workers: Employment and Retirement Trends

Older Workers: Employment and Retirement Trends Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents September 2005 Older Workers: Employment and Retirement Trends Patrick Purcell Congressional Research Service

More information

Did the Massachusetts Health Care Reform Lead to. Smaller Firms and More Part-Time Work? By Alex Draime. Professor Bill Evans ECON 43565

Did the Massachusetts Health Care Reform Lead to. Smaller Firms and More Part-Time Work? By Alex Draime. Professor Bill Evans ECON 43565 Draime 1 Did the Massachusetts Health Care Reform Lead to Smaller Firms and More Part-Time Work? By Alex Draime Professor Bill Evans ECON 43565 April 19, 2013 Abstract:: The Massachusetts health care reform

More information

Errors in Survey Reporting and Imputation and their Effects on Estimates of Food Stamp Program Participation

Errors in Survey Reporting and Imputation and their Effects on Estimates of Food Stamp Program Participation Errors in Survey Reporting and Imputation and their Effects on Estimates of Food Stamp Program Participation ITSEW June 3, 2013 Bruce D. Meyer, University of Chicago and NBER Robert Goerge, Chapin Hall

More information

Ministry of Health, Labour and Welfare Statistics and Information Department

Ministry of Health, Labour and Welfare Statistics and Information Department Special Report on the Longitudinal Survey of Newborns in the 21st Century and the Longitudinal Survey of Adults in the 21st Century: Ten-Year Follow-up, 2001 2011 Ministry of Health, Labour and Welfare

More information

Figure ES-1. Difficulty Getting Care on Nights, Weekends, Holidays Without Going to ER

Figure ES-1. Difficulty Getting Care on Nights, Weekends, Holidays Without Going to ER Figure ES-1. Difficulty Getting Care on Nights, Weekends, Holidays Without Going to ER Percent saying very or somewhat difficult 1 53 56 6 59 32 32 42 44 7 * 6 * Significant difference between below and

More information

ARE PUBLIC SECTOR WORKERS MORE RISK AVERSE THAN PRIVATE SECTOR WORKERS? DON BELLANTE and ALBERT N. LINK*

ARE PUBLIC SECTOR WORKERS MORE RISK AVERSE THAN PRIVATE SECTOR WORKERS? DON BELLANTE and ALBERT N. LINK* ARE PUBLIC SECTOR WORKERS MORE RISK AVERSE THAN PRIVATE SECTOR WORKERS? DON BELLANTE and ALBERT N. LINK* Available evidence suggests that stability of employment is greater in the public sector than in

More information

We have all heard stories of individuals who are sick and need, for

We have all heard stories of individuals who are sick and need, for CHAPTER WHY ARE THOSE WHO MOST NEED HEALTH INSURANCE LEAST ABLE TO BUY IT? 7 We have all heard stories of individuals who are sick and need, for example, open-heart surgery, but no insurance company would

More information

To What Extent is Household Spending Reduced as a Result of Unemployment?

To What Extent is Household Spending Reduced as a Result of Unemployment? To What Extent is Household Spending Reduced as a Result of Unemployment? Final Report Employment Insurance Evaluation Evaluation and Data Development Human Resources Development Canada April 2003 SP-ML-017-04-03E

More information

Understanding the Affordable Care Act s State Innovation ( 1332 ) Waivers

Understanding the Affordable Care Act s State Innovation ( 1332 ) Waivers 820 First Street NE, Suite 510 Washington, DC 20002 Tel: 202-408-1080 Fax: 202-408-1056 center@cbpp.org www.cbpp.org Updated September 5, 2017 Understanding the Affordable Care Act s State Innovation (

More information

DataWatch. Trends In Employee Health Benefits by Pamela Farley Short

DataWatch. Trends In Employee Health Benefits by Pamela Farley Short DataWatch Trends In Employee Health Benefits by Pamela Farley Short This DataWatch describes the trends in employee health insurance benefits and out-of-pocket expenditures during the past decade. Employee

More information

NBER WORKING PAPER SERIES THE GROWTH IN SOCIAL SECURITY BENEFITS AMONG THE RETIREMENT AGE POPULATION FROM INCREASES IN THE CAP ON COVERED EARNINGS

NBER WORKING PAPER SERIES THE GROWTH IN SOCIAL SECURITY BENEFITS AMONG THE RETIREMENT AGE POPULATION FROM INCREASES IN THE CAP ON COVERED EARNINGS NBER WORKING PAPER SERIES THE GROWTH IN SOCIAL SECURITY BENEFITS AMONG THE RETIREMENT AGE POPULATION FROM INCREASES IN THE CAP ON COVERED EARNINGS Alan L. Gustman Thomas Steinmeier Nahid Tabatabai Working

More information

Minimum Wage as a Poverty Reducing Measure

Minimum Wage as a Poverty Reducing Measure Illinois State University ISU ReD: Research and edata Master's Theses - Economics Economics 5-2007 Minimum Wage as a Poverty Reducing Measure Kevin Souza Illinois State University Follow this and additional

More information

Health Insurance Coverage: Early Release of Estimates From the National Health Interview Survey, 2009

Health Insurance Coverage: Early Release of Estimates From the National Health Interview Survey, 2009 Health Insurance Coverage: Early Release of Estimates From the National Health Interview Survey, 2009 by Robin A. Cohen, Ph.D., Michael E. Martinez, M.P.H., M.H.S.A., and Brian W. Ward, Ph.D., Division

More information

EBRI. The Erosion of Health Insurance Coverage Among the Nonelderly Population: Public Policy Issues and Options. Statement

EBRI. The Erosion of Health Insurance Coverage Among the Nonelderly Population: Public Policy Issues and Options. Statement EBRI T-56 (revised) The Erosion of Health Insurance Coverage Among the Nonelderly Population: Public Policy Issues and Options Statement of Deborah J. Chollet, Ph.D. _ Hearing before the United States

More information

Selection of High-Deductible Health Plans: Attributes Influencing Likelihood and Implications for Consumer-Driven Approaches

Selection of High-Deductible Health Plans: Attributes Influencing Likelihood and Implications for Consumer-Driven Approaches Selection of High-Deductible Health Plans: Attributes Influencing Likelihood and Implications for Consumer-Driven Approaches Wendy D. Lynch, Ph.D. Harold H. Gardner, M.D. Nathan L. Kleinman, Ph.D. Health

More information

Sara R. Collins, Ph.D. Vice President, Health Care Coverage and Access The Commonwealth Fund. Alliance for Health Reform Briefing July 11, 2014

Sara R. Collins, Ph.D. Vice President, Health Care Coverage and Access The Commonwealth Fund. Alliance for Health Reform Briefing July 11, 2014 Health Insurance Coverage and Access to Care After the Affordable Care Act s First Open Enrollment Period: Findings from The Commonwealth Fund Affordable Care Act Tracking Survey, April-June 2014 Sara

More information

Out-of-Pocket Health Spending by Medicare Beneficiaries Age 65 and Older: 1997 Projections

Out-of-Pocket Health Spending by Medicare Beneficiaries Age 65 and Older: 1997 Projections #9705 December 1997 Out-of-Pocket Health Spending by Medicare Beneficiaries Age 65 and Older: 1997 Projections AARP Public Policy Institute The Lewin Group David J. Gross Mary Jo Gibson Lisa Alecxih Craig

More information

Table 1. Underinsured Indicators Among Adults Ages Insured All Year, 2003, 2005, 2010, 2012, 2014, 2016

Table 1. Underinsured Indicators Among Adults Ages Insured All Year, 2003, 2005, 2010, 2012, 2014, 2016 How Well Does Insurance Coverage Protect Consumers from Health Care Costs? Tables 1 The following tables are supplemental to a Commonwealth Fund issue brief, S. R. Collins, M. Z. Gunja, and M. M. Doty,

More information

STUDY OF HEALTH, RETIREMENT AND AGING

STUDY OF HEALTH, RETIREMENT AND AGING STUDY OF HEALTH, RETIREMENT AND AGING experiences by real people--can be developed if Introduction necessary. We want to thank you for taking part in < Will the baby boomers become the first these studies.

More information

Data and Methods in FMLA Research Evidence

Data and Methods in FMLA Research Evidence Data and Methods in FMLA Research Evidence The Family and Medical Leave Act (FMLA) was passed in 1993 to provide job-protected unpaid leave to eligible workers who needed time off from work to care for

More information

Scenario Simulation Model: Data Sources and Database Construction

Scenario Simulation Model: Data Sources and Database Construction Scenario Simulation Model: Data Sources and Database Construction Supplement H to the Report: Challenges and Alternatives for Employer Pay-or-Play Program Design: An Implementation and Alternative Scenario

More information

Health Care Spending Under Reform: Less Uncompensated Care and Lower Costs to Small Employers

Health Care Spending Under Reform: Less Uncompensated Care and Lower Costs to Small Employers Health Care Spending Under Reform: Less Uncompensated Care and Lower Costs to Small Employers Timely Analysis of Immediate Health Policy Issues January 2010 Lisa Clemans-Cope, Bowen Garrett, and Matthew

More information

Managed care has become the dominant mode of care delivery

Managed care has become the dominant mode of care delivery Commercial Plans In Medicaid Managed Care: Understanding Who Stays And Who Leaves Many of the factors that influence plans exit decisions are within the control of state policymakers and program administrators.

More information

Questions and Answers about OLDER WORKERS: A Sloan Work and Family Research Network Fact Sheet

Questions and Answers about OLDER WORKERS: A Sloan Work and Family Research Network Fact Sheet Questions and Answers about OLDER WORKERS: A Sloan Work and Family Research Network Fact Sheet Introduction The Sloan Work and Family Research Network has prepared Fact Sheets that provide statistical

More information