估计医疗补助扩张的消费平滑价值:证据与局限
Estimating the consumption-smoothing value of Medicaid expansion: Evidence and limits
Journal of Public Economics · 2026 · [{"name": "Anita Mukherjee", "affiliation": ["University of Wisconsin–Madison"]}, {"name": "Daniel W. Sacks", "affiliation": ["University of Wisconsin–Madison"]}, {"name": "Hoyoung Yoo", "affiliation": ["University of Illinois Urbana-Champaign"]}]
中文摘要
我们探讨直接消费数据能够揭示《平价医疗法案》医疗补助(Medicaid)扩张的保险价值中消费平滑成分的哪些信息。医疗补助扩张可能通过限制个人对自付医疗支出的暴露来降低消费风险,但当大量未参保者的医疗服务是通过慈善医疗、坏账或其他形式的无偿医疗来融资时,这一渠道的作用可能被削弱。我们将消费者支出调查(Consumer Expenditure Survey)的家庭支出数据与各州医疗补助扩张的交错(分批)实施时点相结合,估计其对平均消费以及教育组内消费分布的影响。随后,我们将这些估计出的分布效应映射到一个静态预期效用框架中。该分析既凸显了这一方法所能揭示的内容,也指出了其局限。点估计值对未取得高中学历的群体最大,而对受教育程度更高的群体则接近于零,但这些估计并不精确,对平均消费的估计亦然。由此得到的保险价值计算需要额外的假设,且在统计上同样不精确。因此,我们将结果解读为:现有消费数据可用于界定消费平滑渠道的边界,但不足以精确估计医疗补助扩张保险价值中的这一成分。这些发现厘清了就医疗补助价值的这一成分而言,消费数据能够揭示什么、又不能揭示什么。
Abstract
We ask what direct consumption data can reveal about the consumption-smoothing component of the insurance value of the Affordable Care Act Medicaid expansions. Medicaid expansion may reduce consumption risk by limiting exposure to out-of-pocket medical spending, but this channel may be muted when much uninsured care is financed through charity care, bad debt, or other forms of uncompensated care. We combine household expenditure data from the Consumer Expenditure Survey with the staggered timing of state Medicaid expansions to estimate effects on average consumption and on the within-education-group consumption distribution. We then map these estimated distributional effects into a static expected-utility framework. The exercise highlights both what this approach can reveal and where it is limited. Point estimates are largest for individuals without a high school degree and close to zero for higher-education groups, but the estimates are imprecise, including for average consumption. The resulting insurance-value calculations require additional assumptions and are also statistically imprecise. We therefore interpret the results as showing that existing consumption data can be used to bound the consumption-smoothing channel, but are not adequate to precisely estimate this component of the insurance value of Medicaid expansion. The findings clarify what can and cannot be learned from consumption data about this component of Medicaid’s value.
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