Patient Protection and Affordable Care Act: Estimates of the Effect on the Prevalence of Employer-Sponsored Health Coverage
Released: 2012-08-24T00:00:00

Letter

Background

Employer-sponsored health coverage is the leading source of health coverage in the United States. In 2010, 59 percent of Americans under age 65 received health coverage through employer-sponsored group health plans, and an additional 7 percent received coverage through health coverage purchased directly from health insurers in the individual market. Employers may provide coverage either by purchasing coverage from a health insurer (fully insured plans) or by funding their own health coverage (self-insured plans). Small employers typically offer fully insured plans, while large employers are more likely to be self- insured. Small employers are also less likely to offer their employees health coverage compared to large employers, citing the cost of coverage as a key reason. Additionally, firms with more high-wage workers are more likely to offer coverage to their employees than those with more low- wage workers. Rates of employer-sponsored health coverage have declined in the last decade—from 68 percent in 2001 to 60 percent in 2011. Most of this decline occurred by 2005 and was driven primarily by a decline in the number of very small employers with three to nine employees offering health coverage. In addition, employee participation in employer-sponsored coverage has also decreased—from 70 percent in 2001 to 65 percent in 2011, in part because of a decline in employee eligibility for the coverage. Further, employees’ share of the cost of coverage is increasing faster than employers’ share—the employee contribution to the average annual premium for family coverage increased 131 percent from 2001 to 2011 compared to a 108 percent increase in the employer contribution for the same time period.

PPACA contains a number of provisions that may affect whether employers offer health coverage. These provisions include an “individual mandate,” or the requirement that individuals—subject to certain exceptions—obtain minimum essential health coverage or pay a tax penalty starting in 2014; the establishment of health insurance exchanges in 2014— essentially, health insurance marketplaces in which individuals and small businesses can compare, select, and purchase health coverage from among participating carriers; health insurance market reforms including a requirement that prevents health plans and insurers in the individual and small group markets from denying coverage or charging higher premiums because of pre- existing conditions or medical history, and that limits the extent to which premiums may vary; premium subsidies—which provide sliding scale tax credits starting in 2014 to limit premium costs for individuals and families with incomes up to 400 percent of the federal poverty level—for purchasing individual coverage through an exchange; penalties for certain large employers that do not offer qualified health coverage and have at least one full-time employee receiving a subsidy (in the form of a premium tax credit or cost-sharing reduction) in a plan offered through an exchange starting in 2014, or for certain large employers that provide access to coverage but do not meet certain requirements for affordability; tax credits for certain small businesses toward a share of their employee health coverage beginning in 2010; a 40 percent excise tax on certain employer-sponsored health plans whose costs exceed a certain threshold in 2018; a state Medicaid expansion effective in 2014 for individuals who are under 65 years old, have incomes at or below 133 percent of the federal poverty level, and meet other specified criteria.

Researchers have used various types of studies to predict the effect of PPACA on employer-sponsored health insurance, including microsimulation models, other analytic approaches, and employer surveys. Microsimulation models—commonly used statistical models— generally use published survey data to construct a base data set of individuals, families, and employers, and then attempt to predict responses to public policy changes by drawing from the best available evidence in health economics literature and, in some cases, existing empirical evidence from related or smaller-scale policy changes (such as prior changes in Medicaid eligibility and state insurance reform efforts). The models systematically estimate the combined effect of multiple provisions in legislation, such as PPACA, based on this previous research and empirical data. For example, with respect to PPACA, models can provide an estimate of employer-sponsored coverage that considers both the number of employers that may discontinue offering coverage and the number that may begin to offer coverage. Models can also incorporate into their analyses estimates of the number of employees who may take up or refuse offers of such coverage. Model limitations include their dependence upon multiple types of data from multiple sources of varying quality and that they must rely on many assumptions. The impact of past policy changes also may not necessarily be predictive of the impact of future changes, and there is little information available with which to assess the validity of their projections.analytic approaches to model behavior in response to policy changes Studies we reviewed using other varied in their methods, ranging from a cost-benefit comparison to an analysis that used survey data and economic theory to predict behavior.

Employer surveys have also been cited to illustrate the potential impact of PPACA on employer health benefits. Unlike microsimulation models, surveys have the advantage of reflecting the actual, current perspectives of employers, and they can also assess how employers’ behavior may be affected by the actions of other employers of similar size and industry. However, they have limitations as a predictive tool. For example, most surveys relating to PPACA asked respondents about employers’ likelihood of dropping coverage, rather than the likelihood of newly offering coverage as a result of PPACA or the number of employees that may take up or refuse such coverage. Thus, they may not illustrate the net effect of PPACA on employer-sponsored coverage. Further, the validity of their results may be limited by the knowledge of survey respondents. Experts have noted that employer surveys tend to be answered by human resource officials with varying levels of knowledge about PPACA. In addition, researchers note that survey responses do not require careful analysis or extensive deliberation and have no consequences for the responders. Therefore, surveys are more limited in their ability to systematically assess the combined effect of multiple PPACA provisions—that is, they cannot ensure that respondents consider (or have the ability to consider) all of the relevant provisions when deciding how to respond. Moreover, the results of the sample of employers surveyed may not always be generalizable to all employers, depending on the number of respondents and other aspects of the survey methodology.

Microsimulation Models Predicted Little Near-Term Change in Employer- Sponsored Coverage, but Other Studies and Employer Surveys Varied More Widely

Microsimulation studies generally predicted little change in employer- sponsored health coverage in the near term, but results of studies using other analytic approaches and employer surveys varied more widely. Few studies provided longer-term predictions of the prevalence of employer- sponsored coverage, and those that did so expressed uncertainty about their estimates. Microsimulation studies that examined the effect of the individual mandate estimated that more people would have employer- sponsored coverage with the mandate in place compared to without the mandate.

Microsimulation Studies Predicted Small Near-Term Changes to Employer- Sponsored Coverage

Among the five microsimulation studies we reviewed, estimates of PPACA’s net effect on changes in the rates of employer-sponsored coverage ranged in the near term from a decrease of 2.5 percent to an In increase of 2.7 percent in the number of individuals with coverage.particular, three projected an increase in the number of individuals with coverage. The Centers for Medicare & Medicaid (CMS) estimated a net increase of about 0.1 percent (200,000 individuals), and the studies by the RAND Corporation (RAND) and the Urban Institute/Robert Wood Johnson Foundation (RWJF) each projected a net increase of 2.7 percent affecting about 4 million individuals. The remaining two studies projected a decrease: the Congressional Budget Office (CBO) projected a 2.5 percent net decrease affecting about 4 million individuals, while The Lewin Group projected a net decrease of 1.6 percent affecting about 2 million individuals. (See fig. 1.)

Two of the studies also indicated that the majority of individuals who lose employer-sponsored coverage would transition to other sources of coverage. For example, the RAND study indicated that out of the 6.5 million individuals it projected to lose employer-sponsored coverage after implementation of PPACA, 1.9 million would enroll in individual coverage through an exchange and 3.5 million would enroll in Medicaid. The remaining 1.1 million individuals would become uninsured.

Estimates from Studies Using Other Analytic Approaches Varied More Widely

Estimates from the three studies we reviewed that used other analytic approaches varied more widely than those from the microsimulation models. Two of the three studies predicted small near-term changes in the number of individuals with employer-sponsored coverage. One of the studies, published by the Employment Policies Institute (EPI), used a modeling approach that predicted behavioral responses of all workers in a nationally representative sample to three main provisions of PPACA. This study projected a net increase of about 6 percent, or 4 million, in the number of individuals with employer-sponsored coverage. Another study by Booz & Company Inc. that used a combination of surveys, interviews, focus groups, and modeling projected a net decrease of 2 to 3 percent, or from 3 million to 4 million individuals. The third study, conducted by the American Action Forum, used a decision-making model based on cost-benefit comparisons to project a larger decrease of up to 35 million in the number of people with employer-sponsored coverage.

However, this study did not consider whether employers may newly offer coverage or estimate the number of individuals that would be newly covered as a result.

Employer Surveys Varied Widely in Their Estimates of PPACA’s Effect on Employer-Sponsored Coverage

Employer surveys varied widely in their estimates of employers’ responses to PPACA. Sixteen of the 19 surveys we reviewed reported estimates of employers dropping coverage for employees in general (rather than only for certain types of employees). Among these 16 surveys, 11 indicated that 10 percent or fewer of employers were likely to drop coverage in the near term, and 5 indicated that from 11 to 20 percent were likely to drop coverage in the near term. The estimates ranged from 2 to 20 percent across these 16 surveys. (See table 1.) Because these surveys were typically of employers currently offering coverage, most did not reflect the number of employers that may be likely to begin offering coverage under PPACA.

A higher proportion of employers indicated that they were “somewhat likely” to drop coverage, among the 6 surveys that also provided this response option. Among these surveys, 2 (the National Federation of Independent Businesses (NFIB) and Towers Watson) indicated that 10 percent or fewer of employers were “somewhat likely” to drop coverage, 2 surveys (Willis and Mercer) indicated that 11 to 20 percent of employers had such plans, and the remaining 2 surveys (McKinsey & Co. (McKinsey) and PricewaterhouseCoopers) indicated that over 20 percent had such plans. In addition, two surveys asked respondents how their decisions to drop or offer coverage may be affected by other employers’ actions. In one survey 78 percent of employers indicated that they were planning to follow the lead of other employers. In the other survey 25 percent of employers indicated that it would have a “major impact” on their decision if “one or a few large, bellwether employers” or one of their major competitors dropped coverage for a majority or all of their employees.

Three of the 16 surveys that also examined employer plans to newly offer coverage as a result of PPACA indicated that from 1 and 28 percent of employers were likely to do so. The NFIB survey indicated that about 1 percent of the employers surveyed were likely to begin offering coverage as a result of PPACA; the McKinsey survey indicated that 13 percent of employers with 2 to 49 employees, and 14 percent of employers with 50 to 499 employees, were likely to begin offering coverage. In addition, the Kaiser Family Foundation/Health Research & Educational Trust survey that examined employer plans to only newly offer (but not drop) coverage indicated that 15 percent of small employers (fewer than 50 employees) that did not offer health coverage and were aware of the small business tax credit were planning to add coverage as a result of it; and the Market Strategies International survey indicated that 28 percent of employers not offering health coverage would begin to do so.

Estimates of Longer-Term Effects of PPACA on Employer-Sponsored Coverage Were Fewer and Less Certain

Among the studies we reviewed, only two microsimulation studies examined the longer-term effects of PPACA on employer-sponsored coverage. CMS projected that the number of individuals with employer- sponsored coverage would decrease by approximately 1 percent relative to estimates without PPACA in each year from 2017 through 2019, and that this annual gap would accelerate after that as a result of the high- cost plan excise tax. CBO projected a drop of about 3 percent, slightly larger than its near-term estimate, in employer-sponsored coverage in each year from 2017 through 2019, relative to estimates without PPACA in each year, and projected that this annual gap would decrease thereafter. The studies also noted that there is a large amount of uncertainty regarding how employers and employees will respond to policy changes as sweeping and complex as those included in PPACA, and some researchers indicated that long-term predictions of the effects of PPACA are particularly uncertain.

Studies Predicted Larger Decreases in Employer- Sponsored Coverage without the Individual Mandate

Four of the five microsimulation studies examined the effect of the individual mandate and predicted that fewer individuals would have employer-sponsored coverage without the mandate as compared to with the mandate. These studies separately estimated the effect of PPACA both with and without the individual mandate. The estimates ranged from about 2 million to 6 million fewer people covered without the mandate compared to with the mandate. (See fig. 2.)

Differences in Key Assumptions and Consideration of PPACA Provisions Likely Contributed to Variation in Estimates among Studies Using Similar Techniques

Certain differences in key assumptions may have contributed to some variation in the estimates from the microsimulation studies we reviewed. Variation in estimates from the studies that used other analytic approaches was likely caused in part by differences in their methodologies and the extent of their incorporation of PPACA provisions into their analyses. Variation in estimates from the employer surveys was likely due in part to differences in survey methods, respondents, and the manner in which PPACA provisions were referenced throughout the survey.

Differences in Assumptions, Time Frames of Projections, and Assessment of the Individual Mandate Likely Contributed to Small Variation in Estimates from Microsimulation Studies

Certain differences in factors, such as underlying assumptions about employer and employee decision making, may have contributed to some variation in the estimates, although the five microsimulation studies we reviewed shared methodological similarities and therefore generated relatively similar estimates of changes to employer-sponsored coverage. The studies generally used similar modeling techniques and many of the same data sets to calculate their estimates. Specifically, to construct baseline distributions of coverage in the United States and “synthetic” firms intended to reflect the demographics of employees in actual firms, the studies relied on data sets such as the Medical Expenditure Panel Survey (MEPS), the Current Population Survey (CPS), and the Survey of Income and Program Participation (SIPP). The studies also made certain common assumptions. For instance, most assumed, as illustrated by evidence in the literature, that employers electing to drop coverage for their employees would increase wages in order to compensate for the loss of health benefits, and certain studies noted that the increased wages would factor in the tax exclusion of health benefits.

However, another researcher has noted that employers’ decisions to increase employees’ wages in lieu of offering health coverage will depend on a number of factors—most important the strength of the economy and the labor market. Further, most studies assumed that employers generally make decisions about health coverage based on their entire workforce and would not offer health benefits to some, but not all, employees. For example, CBO noted that there are legal and economic obstacles to offering health benefits to only certain employees, including a prohibition on discrimination in favor of highly compensated individuals. Such similar assumptions likely contributed to the consistency of the studies’ estimates, which suggested that PPACA would result in relatively small changes to employer-sponsored coverage in the near term.

However, differences in underlying assumptions about employer and employee responses to PPACA, the time frames of projections, and assessment of the effectiveness of PPACA’s individual mandate likely contributed to some variation in the estimates.

Modeling employer and employee responses to PPACA: The studies generally used one of two different approaches to model employer and employee responses to PPACA. The CBO study drew from available evidence in health economics literature about historical responses to premium changes in order to model the future decisions of employers and employees in response to PPACA. The RAND and Urban Institute/RWJF studies assumed that employers and employees would make optimal choices by weighing the financial costs and benefits of available options, taking into account factors such as the PPACA-imposed individual and employer penalties for not obtaining or offering coverage. The Lewin Group study used a combination of the two approaches.

Time frames of the estimates: While each microsimulation model estimated the effects of PPACA in a certain year as compared to coverage without PPACA in a given year, the models varied in their time frame of focus. The Lewin Group and Urban Institute/RWJF studies we reviewed simulated the effects of PPACA in 2011 (assuming implementation of key PPACA provisions). However, the RAND study simulated the effects of PPACA in 2016, and the CBO and CMS studies simulated the effects of PPACA over a range of years (2012 through 2022 and 2010 through 2019, respectively).

Compliance with the individual mandate: Models varied in their assessment of the degree of compliance with PPACA’s individual mandate. The CMS and Urban Institute/RWJF studies assumed compliance would be driven by both the financial incentive of a penalty as well as the desire to obey a statutory mandate. Similarly, the CBO study assumed that compliance with the mandate would be high, even among individuals exempt from penalties, because of a natural preference for complying with the law. CBO also assumed that the penalties for noncompliance may be imperfectly enforced. However, the RAND study assumed that penalties for noncompliance would be perfectly enforced, but did not assume that the mandate would increase compliance among individuals exempt from penalties. Similarly The Lewin Group also assumed a lower compliance with the individual mandate than CBO, in part because there are no legal consequences to going without coverage beyond the penalty.

Differences in Study Methodologies and Consideration of PPACA Provisions Likely Led to Wider Variation in Estimates from Studies Using Other Analytic Approaches

Estimates from the three studies that used other analytic approaches varied more widely likely in part because of differences in the studies’ methodologies as well as their consideration of PPACA provisions. For example, the EPI study, which predicted a net increase of 4 million in the number of individuals with employer-sponsored coverage, incorporated some of the statistical modeling techniques and underlying theory of employer and employee behavior used by the microsimulation models, and was therefore able to more systematically examine the combined effects of PPACA’s provisions. The American Action Forum study, which predicted that up to 35 million individuals may lose employer- sponsored coverage, used a cost-benefit comparison, examining individual employers’ financial trade-offs between offering coverage and dropping coverage for employees of different income levels and paying the employer penalties and increasing employees’ wages to compensate. The study suggested that PPACA provides strong financial incentives for employers to drop coverage for many of their low-income employees, but that there are few incentives to drop coverage for higher-income employees. Certain researchers have noted key limitations of the study, including that it did not take into account the impact of PPACA’s individual mandate, the nonfederal tax advantage of employer-sponsored coverage, the cost of single health coverage plans, and the nondiscrimination rules that may prevent employers from dropping coverage for some, but not all, employees.measure the net effect of PPACA on employer health coverage, thus Additionally, unlike the other two studies, this study did not addressing only those that may drop coverage but not those that may newly offer it. Finally, the Booz and Company Inc. study, which predicted a net decrease of 3 to 4 million in the number of individuals with employer-sponsored coverage, used a combination of interviews, focus groups, surveys, and statistical modeling to derive its estimates. The study estimated the change in employer-sponsored coverage between 2 years—2009 and 2016—but did not separate the effects of PPACA from any changes to employer-sponsored coverage that may occur between these years because of factors unrelated to PPACA, such as a continuation of the overall declining rates of employer-sponsored coverage since the last decade.

Variation in Estimates from Employer Surveys Was Likely Due to Differences in Survey Methods and Assumptions about Respondent Knowledge of PPACA Provisions

Varying estimates from the 16 employer surveys of the extent to which employers were likely to drop health coverage may have stemmed from differences in sampling techniques, the response rates and number of respondents, the types of employers surveyed, the framing of survey questions, and the manner in which PPACA provisions were referenced throughout the survey.

Sampling techniques and number of respondents: Surveys varied in the methodology used to draw their sample of respondents. Some, such as the Mercer survey, sampled randomly within the national employer population, which helped ensure that results were generalizable to all nonsurveyed employers with similar characteristics. Others, such as the International Foundation of Employee Benefit Plans (IFEBP) survey, used nonrandom sampling techniques, which limited the generalizability of their results. In addition, the number of survey respondents ranged widely, from 104 in the Benfield Research survey to about 2,840 in the Mercer survey, which also could have implications for the generalizability of results.The surveys generally did not publicly disclose their response rates.

Employer respondent type: Surveys varied in the type of employers surveyed. Some, such as those conducted by trade groups, were limited to members of the surveying organization. Others were limited to only small or only large employers, or employers within a particular industry, or included a broader mix of small, midsize, and large employers across all types of industries. For example, the NFIB survey included only small employers with 50 or fewer employees, while the majority of respondents to the HighRoads survey were from hospitals and other health care systems. The Mercer and Willis surveys included a wider range of employer sizes and industries. Some surveys, such as the Benfield Research survey, included only self-insured employers, and others, such as the McKinsey survey, included only private sector employers.

Framing of the survey questions: Surveys varied in the manner in which they asked whether employers were planning to drop health coverage in response to PPACA. For example, the Fidelity Investments (Fidelity) survey reported whether respondents were “seriously thinking about no longer offering health care coverage,” the HR Policy Association survey asked if respondents were giving “serious consideration to discontinuing providing health benefits,” and the NFIB survey asked if employers were “not at all likely” or “not too likely” to “have an employee insurance plan 12 months from now.” In addition, some surveys reported specifically about active employee health plans, while others did not distinguish between active employees and retirees. For example, the Towers Watson survey reported whether respondents planned to “replace health care plans for active employees working 30+ hours per week with a financial subsidy” while the GfK Custom Research North America survey reported whether employers were “very or somewhat likely to drop coverage” without specifying whether this was for active employees or retirees.

Referencing of PPACA provisions: Surveys varied in their assumptions of respondent knowledge of PPACA provisions. For example, 11 surveys assumed a certain level of respondent awareness of key PPACA provisions and did not specifically refer to the provisions in the phrasing of their questions about plans to drop coverage. However, other surveys phrased their questions in the context of specific PPACA provisions or explicitly asked respondents about their knowledge of the provisions. For example, the PricewaterhouseCoopers survey asked how likely respondents were to “cover employees through state-run health insurance exchange pools,” and the Willis survey asked how likely respondents were to “drop coverage to trigger migration of employees to state-based exchanges.” The McKinsey survey also phrased its questions about discontinuing health coverage in the context of select PPACA provisions and provided additional information to respondents to inform them about the provisions.

Employer Surveys Suggest That PPACA May Have a Larger Effect on Small Employers and Certain Employee Populations and Prompt Some Employers to Change Benefit Designs

PPACA may affect certain types of employers or employers with certain employee populations more than all employers or employees. Some employers were considering benefit design changes.

PPACA May Affect Small Employers and Certain Types of Employees More Than Others

Four of five surveys that examined changes in the prevalence of employer-sponsored coverage by employer size indicated that a greater share of small employers (from 5 to 22 percent) were considering dropping coverage compared to large employers (from 2 to 14 percent) in these surveys. These surveys included Fidelity (22 percent and 14 percent for small and large employers, respectively), McKinsey (9 percent and 5 percent for small and large employers, respectively), and Mercer (5 percent and 2 percent for small and large employers, respectively). One survey (Willis) did not indicate any differences between small and large employers.

Surveys that examined changes in the prevalence of employer-sponsored coverage for certain types of beneficiaries indicated that these individuals could be more affected than others. Five of the nine surveys that considered the effect on retirees indicated that a higher proportion of employers were considering dropping coverage for retirees compared to all employees in these surveys—between 9 and 20 percent compared to 4 percent and 9 percent, respectively. For example, Mercer indicated that 17 percent and 5 percent of employers were considering dropping coverage for new retirees and all employees, respectively, and Willis indicated that 9 percent and 5 percent of employers were considering dropping coverage for retirees and all employees, respectively. Two of the four remaining surveys (PricewaterhouseCoopers and IFEBP) indicated no differences between rates of employers dropping coverage for retirees and for all employees, and the remaining two only examined the effect of PPACA on subsets of employees, but not all employees. In addition, two surveys that examined the effect of PPACA on spouses and dependents indicated that between 12 and 15 percent of employers were considering dropping health coverage for spouses and dependents compared to a lower proportion for all employees. For example, McKinsey indicated that 15 percent and 9 percent of employers were definitely considering dropping coverage for spouses/dependents and all employees, respectively.

PPACA May Also Prompt Employers to Change Health Plan Benefit Design

Several of the 19 employer surveys that we reviewed also indicated that PPACA may prompt employers to consider key changes to benefit designs that will generally result in greater employee cost for health insurance.

Increased employee cost sharing: The 9 surveys that examined benefit design changes indicated that from 16 to 73 percent of employers were considering increasing employees’ share of the cost of coverage, for example, through increased premiums, deductibles, or co-payments. For example, the IFEBP survey indicated that about 40 percent of employers had increased or were planning to increase employee premium sharing, and about 29 percent had increased or planned on increasing in-network deductibles. Similarly, the PricewaterhouseCoopers survey indicated that 61 percent planned to increase employee premium sharing, and 57 percent planned to increase employee cost sharing through other benefit design changes.

In addition, the 7 surveys that examined employer responses to the high-cost excise tax effective under PPACA in 2018 indicated that from 11 to 88 percent of employers had plans to take steps to avoid paying the tax; in 5 of these surveys, employers planned to redesign benefits and in 2 surveys employers had not identified specific strategies but planned to take steps. For example, the Aon-Hewitt survey indicated that 25 percent of employers anticipated changing their benefits to reduce plan cost, while the Willis survey indicated that 22 percent planned to increase deductibles or co-payments to avoid the tax.

Use of account-based plans: The 9 surveys that examined employer plans to offer account based plans, such as high-deductible health plans (HDHP), consumer-directed health plans (CDHP), or health savings accounts indicated that from 17 to 73 percent of employers either had plans to offer such plans or saw the plans as attractive options for providing health coverage. For example, the Benfield Research survey indicated that about two-thirds of employers planned to offer a CDHP by 2015, and the Towers Watson survey indicated that 17 percent planned to start offering HDHPs in 2013 or 2014, bringing the total share of employers with HDHPs up to 74 percent.

Move to self-insurance: Two of the 3 surveys that examined employers potentially becoming self-insured in response to PPACA indicated that from 12 to 52 percent were considering doing so, and the remaining survey indicated that 13 percent of employers reported increasing their consideration of such a move in response to PPACA. For example, the IFEBP survey indicated that about 52 percent of employers were considering such a move, compared to only about 6 percent in a prior year’s survey.

External Comments

We provided a draft of this report to two researchers with expertise in employee health benefits issues. They agreed with our report and provided suggestions and technical comments, which we incorporated as appropriate.

As agreed with your office, unless you publicly announce the contents of this report earlier, we plan no further distribution until 30 days from the report date. At that time, we will send a copy to the Secretary of Health and Human Services. In addition, the report will be available at no charge on the GAO website at http://www.gao.gov.

If you or your staff have any questions about this report, please contact me at (202) 512-7114 or dickenj@gao.gov. Contact points for our Offices of Congressional Relations and Public Affairs may be found on the last page of this report. GAO staff who made key contributions to this report are listed in appendix II.

Appendix I: Studies Reviewed by GAO

We reviewed the 27 studies listed below that contained original numerical estimates of the effect of the Patient Protection and Affordable Care Act (PPACA) on the prevalence of employer-sponsored coverage—5 based on microsimulation models, 3 based on other analytic approaches, and 19 based on employer surveys.

Microsimulation Models

1. Centers for Medicare & Medicaid Services.

Foster, R. S., Centers for Medicare & Medicaid Services Office of the Actuary. Estimated Financial Effects of the “Patient Protection and Affordable Care Act,” as Amended. Baltimore, Md.: April 2010. 2. Congressional Budget Office (CBO).

CBO and JCT’s Estimates of the Effects of the Affordable Care Act on the Number of People Obtaining Employment-Based Health Insurance. Washington, D.C.: March 2012.

Updated Estimates for the Insurance Coverage Provisions of the Affordable Care Act. Washington, D.C.: March 2012.

Banthin, J. Effects of Eliminating the Individual Mandate to Obtain Health Insurance. Presentation at Bloomberg Government/Rand Corporation event. Washington, D.C.: March 2012.

Elmendorf, D. W. CBO’s Analysis of the Major Health Care Legislation Enacted in March 2010. Testimony before the Subcommittee on Health, Committee on Energy and Commerce, House of Representatives. Washington, D.C.: March 2011.

H.R. 4872, Reconciliation Act of 2010 (Final Health Care Legislation). Washington, D.C.: March 2010. 3. The Lewin Group.

Sheils, J. F. and R. Haught. “Without the Individual Mandate, the Affordable Care Act Would Still Cover 23 Million; Premiums Would Rise Less Than Predicted.” Health Affairs, vol. 30, no. 11 (2011).

Patient Protection and Affordable Care Act (PPACA): Long Term Costs for Governments, Employers, Families and Providers. Staff Working Paper # 11. Falls Church, Va.: 2010. 4. RAND Corporation.

Eibner, C. and C. C. Price. The Effect of the Affordable Care Act on Enrollment and Premiums, With and Without the Individual Mandate. Santa Monica, Calif.: 2012.

Eibner, C. et al. Establishing State Health Insurance Exchanges: Implications for Health Insurance Enrollment, Spending, and Small Business. Santa Monica, Calif.: 2010. 5. The Urban Institute/Robert Wood Johnson Foundation.

Buettgens, M. and C. Carroll. Eliminating the Individual Mandate: Effects on Premiums Coverage, and Uncompensated Care. Washington, D.C., and Princeton, N.J.: January 2012.

Garrett, B. and M. Buettgens. Employer-Sponsored Insurance under Health Reform: Reports of Its Demise Are Premature. Washington, D.C., and Princeton, N.J.: January 2011.

Other Analytic Approaches

6. Ahlquist, G. D., P. F. Borromeo, and S. B. Saxena. The Future of Health Insurance: Demise of Employer-Sponsored Coverage Greatly Exaggerated. Booz & Company Inc. 2011. 7. Burkhauser, R. V., S. Lyons, and K. Simon. An Offer You Can’t Refuse: Estimating the Coverage Efffects of the 2010 Affordable Care Act. Washington, D.C.: Employment Policies Institute, July 2011.

Burkhauser, R. V., S. Lyons, and K. Simon. The Importance of the Meaning and Measurement of “Affordable” in the Affordable Care Act. Working Paper # 17279, National Bureau of Economic Research. Cambridge, Mass.: August 2011. 8. Holtz-Eakin, D. and C. Smith. Labor Markets and Health Care Reform: New Results. American Action Forum. Washington, D.C.: May 2010.

Employer Surveys

9. Aon Hewitt. Employer Reaction to Health Care Reform: Retiree Strategy Survey. Lincolnshire, Ill.: 2011. 10. Benfield Research. Special Report: Employer Market Healthcare Reform Research Summary. St. Louis, Mo.: 2011. 11. Ceridian Health Care Compass. “Health Care Reform Presents New Challenges, Choices to U.S. Employers.” Issue 21. Cites findings from Ceridian’s Health Care Compass reader poll, July 2011. Accessed February 1, 2012. http://www.ceridian.com/employee_benefits_article/1,6266,15766- 79463,00.html. 12. Fidelity Investments. Fidelity Investments Survey Finds Majority of Employers Rethinking Health Care Strategy Post Health Care Reform. Boston, Mass.: July 2010. Accessed March 6, 2012. http://www.fidelity.com/inside-fidelity/employer-services/fidelity- survey-finds-majority-of-employers-rethinking-health-care-strategy- post-health-care-reform. 13. GfK Custom Research North America. Employers Skeptical of Health Reform, But Few Project Dropping Health Insurance Coverage.” New York, N.Y.: December 2011. Accessed March 29, 2012. http://www.gfkamerica.com/newsroom/press_releases/single_sites/00 9103/index.en.html. 14. HighRoads. “HighRoads Study Shows Employers Will Not Eliminate Benefits Coverage Due to Health Care Reform.” December 2011. Accessed February 1, 2012. http://newsroom.highroads.com/hr- compliance-connection/highroads-study-shows-employers-will-not- eliminate-benefits-coverage-due-to-health-care-reform. 15. HR Policy Association. 2011 Annual Chief Human Resource Officer Survey. Washington, D.C. 2010 Summer Chief Human Resource Officer Survey: Questions on the New Health Care Law. Washington, D.C. 16. International Foundation of Employee Benefit Plans.

Health Care Reform: Employer Actions One Year Later; Survey Results: May 2011. Brookfield, Wis.: 2011.

Health Care Reform: What Employers Are Considering; Survey Results: May 2010. Brookfield, Wis.: 2010. 17. Kaiser Family Foundation and Health Research & Education Trust. Employer Health Benefits 2011 Annual Survey. Menlo Park, Calif., and Chicago, Ill.: September 2011. 18. Lockton Companies, LLC. Employer Health Reform Survey Results, June 2011. Kansas City, Mo.: 2011. 19. Market Strategies International. Many Companies Intend to Drop Employer Coverage in 2014 as Health Care Reform Takes Full Effect. Livonia, Mich.: January 2011. Accessed May 1, 2012. http://www.marketstrategies.com/news/1902/1/Many-Companies- Intend-to-Drop-Employee-Coverage-in-2014-as-Health-Care-Reform- Takes-Full-Effect.aspx. 20. McKinsey & Company. How US Health Care Reform Will Affect Employee Benefits. 2011.

21. Mercer, LLC.

National Survey of Employer-Sponsored Health Plans: 2011 Survey Report. New York, N.Y.: 2012.

National Survey of Employer-Sponsored Health Plans: 2010 Survey Report. New York, N.Y.: 2011. 22. Midwest Business Group on Health. Financial Impact of Health Reform on Employer Benefits Not as Significant as Anticipated. Chicago, Ill.: March 2012. Accessed March 29, 2012. http://www.mbgh.org/mbgh/news/2012pressreleases/go.aspx?navigati onkey=a4956928-cca2-495a-94fc-ed56ce991fcd. 23. National Business Group on Health.

Large Employers’ 2011 Health Plan Design Changes. Washington, D.C.: 2010.

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Appendix II: GAO Contact and Staff Acknowledgments

GAO Contact

Staff Acknowledgments

In addition to the contact named above, Randy DiRosa (Assistant Director), Iola D’Souza, Yesook Merrill, Laurie Pachter, and Priyanka Sethi made key contributions to this report.