The Growing Gap in Life Expectancy by Income Implications for Federal Programs and Policy Responses (2015) / Chapter Skim
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1 Introduction
1 Introduction
Pages 11-16
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From page 11... ...
Social Security projections suggest that between 2013 and 2050, the population aged 65 and over will almost double, from 45 million to 86 million (Board of Trustees, Federal Old-Age and Survivors Insurance and Federal Disability Insurance Trust Funds, 2014)
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From page 12... ...
For example, policy makers presumably need not worry about people with a lower life expectancy receiving lower lifetime benefits from defense or environmental programs. For programs such as Medicare and Social Security, however, it is more natural to consider the concept of lifetime benefits.
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From page 13... ...
Instead, it left to the Phase II study the task of investigating and quantifying, with an appropriate model, the key interactions of the steepening mortality gradient with government programs and of assessing possible policy responses for these programs that would help to meet the fiscal challenges posed by an aging population. CHARGE TO THE COMMITTEE There is a broad consensus in the United States that population aging will place fiscal pressure on the major government programs that help support older persons in this country.
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From page 14... ...
• ocumentation and exploration of the underlying causes of the growing D gaps in income and life expectancy in the United States. • xamination of how the growing gaps in income and life expectancy affect E national public programs such as Social Security, Medicare, and Medicaid, and how these gaps interact with proposed policy adjustments to achieve sustainability in the context of population aging.
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From page 15... ...
It then looks at the policy implications of differential mortality and assesses the impacts of the historical and projected changes in mortality gradients on Medicare, Social Security, and other entitlement programs using the Future Elderly Model. The committee's estimates show a noticeable projected change in the distribution of net benefits across lifetime earnings categories, driven by the differential trends in mortality.
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