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Sibling death clustering in India: state dependence versus unobserved heterogeneity

机译:印度的兄弟姐妹死亡聚类:国家依赖性与未观察到的异质性

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Data from a range of environments indicate that the incidence of death is not randomly distributed across families but, rather, that there is a clustering of death among siblings. A natural explanation of this would be that there are (observed or unobserved) differences across families, e.g. in genetic frailty, education or living standards. Another hypothesis that is of considerable interest for both theory and policy is that there is a causal process whereby the death of a child influences the risk of death of the succeeding child in the family. Drawing language from the literature on the economics of unemployment, the causal effect is referred to here as state dependence (or scarring).The paper investigates the extent of state dependence in India, distinguishing this from family level risk factors that are common to siblings. It offers some methodological innovations on previous research. Estimates are obtained for each of three Indian states, which exhibit dramatic differences in socio-economic and demographic variables. The results suggest a significant degree of state dependence in each of the three regions. Eliminating scarring, it is estimated, would reduce the incidence of infant mortality (among children who are born after the first child) by 9.8% in the state of Uttar Pradesh, 6.0% in West Bengal and 5.9% in Kerala.
机译:来自各种环境的数据表明,死亡的发生率并不是在家庭中随机分布的,而是在兄弟姐妹之间存在死亡的聚集。一个自然的解释是,家庭之间存在(观察到的或未观察到的)差异,例如在遗传脆弱,教育或生活水平方面。在理论和政策上都引起广泛关注的另一个假设是,存在因果关系过程,在此过程中,孩子的死亡会影响后继孩子在家庭中的死亡风险。因果关系从失业经济学的文献中得出,这种因果效应在这里被称为国家依赖性(或疤痕形成)。本文调查了印度对国家依赖性的程度,并将其与兄弟姐妹常见的家庭层面风险因素区分开来。它为先前的研究提供了一些方法上的创新。获得了印度三个州中每个州的估算值,这些州在社会经济和人口统计学变量方面表现出巨大差异。结果表明,在三个区域中的每个区域中,都有很大程度的状态依赖性。据估计,消除疤痕将使北方邦的婴儿死亡率(在第一个孩子之后出生的孩子中)降低9.8%,西孟加拉邦降低6.0%,喀拉拉邦降低5.9%。

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