Potential Implications of Lowering the Medicare Eligibility Age to 60

Song, Zirui

doi:10.1001/jama.2020.7245

Cited by 10 publications

(8 citation statements)

References 4 publications

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“…Widespread application of biological aging measures could represent an alternative to using birthdates when determining the allocation of healthcare and financial support for those suffering from the sequelae of aging. For example, in the United States, there are continuing debates about lowering the Medicare age to expand access to preventative healthcare 58,59 . Perhaps someday we will be able to use biological aging measures to guide treatment access.…”

Section: Discussionmentioning

confidence: 99%

“…For example, in the U.S., there are ongoing debates about lowering the Medicare age to expand access to preventative healthcare. 58 , 59 Perhaps someday we will be able to use biological aging measures to guide treatment access. With further development, geroscience could provide the conceptual tools, measurement technology, and interventions required to mitigate disparities in the pace of biological aging through more tailored and just access to independence-sustaining resources.…”

Section: Discussionmentioning

confidence: 99%

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Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

et al. 2021

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Some humans age faster than others. Variation in biological aging can be measured in midlife, but the implications of this variation are poorly understood. We tested associations between midlife biological aging and indicators of future frailty risk in the Dunedin cohort of 1,037 infants born the same year and followed to age 45. Participants' 'Pace of Aging' was quantified by tracking declining function in 19 biomarkers indexing the cardiovascular, metabolic, renal, immune, dental and pulmonary systems across ages 26, 32, 38 and 45 years. At age 45 in 2019, participants with faster Pace of Aging had more cognitive difficulties, signs of advanced brain aging, diminished sensory-motor functions, older appearances and more pessimistic perceptions of aging. People who are aging more rapidly than same-age peers in midlife may prematurely need supports to sustain independence that are usually reserved for older adults. Chronological age does not adequately identify need for such supports.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

et al. 2021

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“…For example, in the U.S., there are ongoing debates about lowering the Medicare age to expand access to preventative healthcare. 51,52 Perhaps someday we will be able to use biological aging measures to guide treatment access. With further development, geroscience could provide the conceptual tools, measurement technology, and interventions required to mitigate disparities in the pace of biological aging through more tailored and just access to independence-sustaining resources.…”

Section: Discussionmentioning

confidence: 99%

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

Elliott

Caspi

Houts

et al. 2021

Preprint

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All humans age, but some age faster than others. Variation in biological aging can be measured in midlife, but the implications of this variation are poorly understood. We tested associations between biological aging and indicators of future frailty risk in the Dunedin cohort of 1037 infants born the same year and followed to age 45. Participants' Pace of Aging was quantified by tracking declining function in 19 biomarkers indexing the cardiovascular, metabolic, renal, hepatic, immune, dental, and pulmonary systems across ages 26, 32, 38, and 45 years, in 2019. Participants with faster Pace of Aging had more cognitive difficulties, signs of advanced brain aging, diminished sensory-motor functions, older appearance, and more pessimistic perceptions of aging. People who are aging more rapidly than same-age peers in midlife may prematurely need supports to sustain independence that are usually reserved for older adults. Chronological age does not adequately identify need for such supports.

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“…The 10 For example, there is a heated debate about whether to extend Medicare eligibility in the United States (Song, 2020).…”

Section: Motivating Example: Eligibility Cutoff Choice In Regression ...mentioning

confidence: 99%

Optimal Decision Rules Under Partial Identification

Yata¹

2021

Preprint

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I consider a class of statistical decision problems in which the policy maker must decide between two alternative policies to maximize social welfare (e.g., the population mean of an outcome) based on a finite sample. The central assumption is that the underlying, possibly infinite-dimensional parameter, lies in a known convex set, potentially leading to partial identification of the welfare effect. An example of such restrictions is the smoothness of counterfactual outcome functions. As the main theoretical result, I obtain a finite-sample decision rule (i.e., a function that maps data to a decision) that is optimal under the minimax regret criterion. This rule is easy to compute, yet achieves optimality among all decision rules; no ad hoc restrictions are imposed on the class of decision rules. I apply my results to the problem of whether to change a policy eligibility cutoff in a regression discontinuity setup. I illustrate my approach in an empirical application to the BRIGHT school construction program in Burkina Faso (Kazianga, Levy, Linden and Sloan, 2013), where villages were selected to receive schools based on scores computed from their characteristics. Under reasonable restrictions on the smoothness of the counterfactual outcome function, the optimal decision rule implies that it is not cost-effective to expand the program. I empirically compare the performance of the optimal decision rule with alternative decision rules.

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Potential Implications of Lowering the Medicare Eligibility Age to 60

Cited by 10 publications

References 4 publications

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

Optimal Decision Rules Under Partial Identification

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