La Follette School of Public Affairs, Department of Population Health Sciences, and Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA.
Department of Sociology and Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA.
Demography. 2023 Apr 1;60(2):351-377. doi: 10.1215/00703370-10609710.
A rich literature shows that early-life conditions shape later-life outcomes, including health and migration events. However, analyses of geographic disparities in mortality outcomes focus almost exclusively on contemporaneously measured geographic place (e.g., state of residence at death), thereby potentially conflating the role of early-life conditions, migration patterns, and effects of destinations. We employ the newly available Mortality Disparities in American Communities data set, which links respondents in the 2008 American Community Survey to official death records, and estimate consequential differences based on the method of aggregation we use: the unweighted mean absolute deviation of the difference in life expectancy at age 50 measured by state of birth versus state of residence is 0.58 years for men and 0.40 years for women. These differences are also spatially clustered, and we show that regional inequality in life expectancy is higher based on life expectancies by state of birth, implying that interstate migration mitigates baseline geographic inequality in mortality outcomes. Finally, we assess how state-specific features of in-migration, out-migration, and nonmigration together shape measures of mortality disparities by state (of residence), further demonstrating the difficulty of clearly interpreting these widely used measures.
丰富的文献表明,生命早期的条件会影响后期的结果,包括健康和迁移事件。然而,对死亡率结果的地理差异的分析几乎完全集中在同时测量的地理位置(例如,死亡时的居住州)上,从而可能混淆了生命早期条件、迁移模式以及目的地的影响。我们利用新的 Mortality Disparities in American Communities 数据集,该数据集将 2008 年美国社区调查中的受访者与官方死亡记录联系起来,并根据我们使用的聚合方法估计相应的差异:根据出生地与居住地测量的 50 岁时预期寿命差异的未加权平均绝对偏差,男性为 0.58 岁,女性为 0.40 岁。这些差异也呈现空间聚集性,我们表明,基于出生地的预期寿命,州际迁移减轻了死亡率结果的基本地理不平等,因此,预期寿命的区域不平等更高。最后,我们评估了移入、移出和非迁移的州内特定特征如何共同塑造按州(居住地)划分的死亡率差异衡量标准,进一步表明这些广泛使用的衡量标准的解释难度很大。