Dukhovnov Denys, Zagheni Emilio
Department of Demography, University of California, Berkeley, 2232 Piedmont Avenue, Berkeley, CA 94720, United States of America.
Max Planck Institute for Demographic Research, Rostock, Germany.
Vienna Yearb Popul Res. 2019;17:163-197. doi: 10.1553/populationyearbook2019s163. Epub 2019 Dec 3.
Recent work based on the American Time Use Survey (2011-2013) provided estimates of matrices of "who provides care to whom" by age and sex within care activities in the U.S. In this paper, we build on that line of research by evaluating the strength of race, ethnicity, and national origin as proxy indicators of cultural propensities to engage in informal care. Our results point to several key differences and similarities between groups based on their characteristics. For example, we find that compared to other groups, native-born African American men exhibit the lowest child care participation and transfer rates, whereas foreign-born Hispanics of any race have significantly higher rates of daily participation in child care. Moreover, we find that the propensity to provide adult care is largely dependent on socio-economic characteristics and household structure. However, our models indicate that neither race/ethnicity nor nativity are strong predictors of the observed differences when household composition and socio-economic factors are taken into account. Thus, we believe that more complex cultural factors are at play. As an illustrative example of the consequences of demographic change, we introduce the care support ratio (CSR), which is a measure of macro-level dependency for non-market transfers. The application of the CSR indicates that future informal care time deficits may result from the growing care needs of the ageing population.
最近基于美国时间使用调查(2011 - 2013年)开展的研究,给出了美国护理活动中按年龄和性别划分的“谁为谁提供护理”矩阵的估计值。在本文中,我们以该研究方向为基础,评估种族、族裔和国籍作为参与非正式护理文化倾向的代理指标的强度。我们的研究结果指出了不同群体基于其特征的几个关键差异和相似之处。例如,我们发现,与其他群体相比,本土出生的非裔美国男性的儿童护理参与率和转移率最低,而任何种族的外国出生的西班牙裔在儿童护理方面的日常参与率则显著更高。此外,我们发现提供成人护理的倾向在很大程度上取决于社会经济特征和家庭结构。然而,我们的模型表明,在考虑家庭构成和社会经济因素时,种族/族裔和出生地都不是观察到的差异的有力预测因素。因此,我们认为有更复杂的文化因素在起作用。作为人口结构变化影响的一个说明性例子,我们引入了护理支持比率(CSR),它是衡量非市场转移的宏观层面依赖性的指标。CSR的应用表明,未来非正式护理时间不足可能源于老年人口护理需求的增加。