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Health and income: A robust comparison of Canada and the US

机译:健康与收入:加拿大和美国的比较

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This paper uses sequential stochastic dominance procedures to compare the joint distribution of health and income across space and time. It is the first application of which we are aware of methods to compare multidimensional distributions of income and health using procedures that are robust to aggregation techniques. The paper's approach is more general than comparisons of health gradients and does not require the estimation of health equivalent incomes. We illustrate the approach by contrasting Canada and the US using comparable data. Canada dominates the US over the bottom part of the bi-dimensional distribution of health and income, though not generally over the uni-dimensional distributions of health or income. The paper also finds that welfare for both Canadians and Americans has not unambiguously improved during the last decade over the joint distribution of income and health, in spite of the fact that the uni-dimensional distributions of income have clearly improved during that period.
机译:本文使用顺序随机控制程序来比较健康和收入在时空上的联合分布。这是我们了解的第一个应用程序,该方法使用对聚合技术可靠的程序来比较收入和健康的多维分布。本文的方法比健康梯度的比较更具通用性,并且不需要估计健康等效收入。我们通过使用可比数据对比加拿大和美国来说明这种方法。在健康和收入的二维分布的底部,加拿大在美国占主导地位,尽管在健康或收入的一维分布中通常不占主导地位。该论文还发现,尽管收入和收入的一维分布在此期间有了明显改善,但在过去的十年中,加拿大人和美国人的福利并未在收入和健康的联合分配中得到明确改善。

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