Mortality Comparisons 'At a Glance': A Mortality Concentration Curve and Decomposition Analysis for India.

Sankhya. Series B (2008) Pub Date : 2022-01-01 Epub Date: 2022-07-28 DOI:10.1007/s13571-022-00293-2
John Creedy, S Subramanian
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引用次数: 2

Abstract

This paper uses the concept of the Mortality Concentration Curve (M-Curve), which plots the cumulative proportion of deaths against the corresponding cumulative proportion of the population (arranged in ascending order of age), and associated measures, to examine mortality experience in India. A feature of the M-curve is that it can be combined with an explicit value judgement (an aversion to early deaths) in order to make welfare-loss comparisons. Empirical comparisons over time, and between regions and genders, are made. Furthermore, in order to provide additional perspective, selective results for the UK and New Zealand are reported. It is also shown how the M-curve concept can be used to separate the contributions to overall mortality of changes over time (or differences between population groups) to the population age distribution and age-specific mortality rates.

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死亡率比较“一瞥”:印度的死亡率浓度曲线和分解分析。
本文使用死亡率集中曲线(m曲线)的概念,该曲线将累积死亡比例与相应的人口累积比例(按年龄升序排列)和相关措施绘制出来,以检验印度的死亡率经验。m曲线的一个特点是,它可以与明确的价值判断(对过早死亡的厌恶)结合起来,以便进行福利损失的比较。对不同时期、不同地区和性别进行了实证比较。此外,为了提供额外的视角,报告了英国和新西兰的选择性结果。它还显示了如何使用m曲线概念来区分随时间变化(或人口群体之间的差异)对人口年龄分布和特定年龄死亡率的总体死亡率的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Ratio-cum-product Type Estimators for Rare and Hidden Clustered Population. Poisson Counts, Square Root Transformation and Small Area Estimation: Square Root Transformation. COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation. Mortality Comparisons 'At a Glance': A Mortality Concentration Curve and Decomposition Analysis for India. A shared spatial model for multivariate extreme-valued binary data with non-random missingness.
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