Patterns of poverty among elderly Americans: a latent class Markov model
Patterns of poverty among elderly Americans: a latent class Markov model
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美国老年人的贫困模式：潜在阶级马尔可夫模型
DOI：
10.1080/13504851.2017.1366637
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发表时间：
2018
影响因子：
1.6
通讯作者：
Maria Luisa Marino
中科院分区：
文献类型：
--
作者：
P. Donni;Maria Luisa Marino
本文研究了美国老年人的贫困持续性和社会保障计划对贫困的作用。我们使用隐马尔可夫模型来解开未观察到的异质性和状态依赖性。由于其动态性质，未观察到的异质性被建模为随时间变化。这可以捕捉到随时间变化的不同潜在贫困状态。结果表明，存在三种未观察到的类型，随着时间的推移，根据他们的倾向是贫穷的。此外，特别是妇女、独居者和少数民族的贫穷现象持续存在。最后，估计表明，提供社会援助往往会减少贫困。
ABSTRACT This article studies poverty persistence and the role of social security programmes on poverty among elderly in the US. We use a Latent Markov model to disentangle unobserved heterogeneity and state dependence. Because of its dynamic nature, unobserved heterogeneity is modelled to vary over time. This allows to capture different latent states of poverty that change over time. Result indicates the existence of three unobserved types evolving over time according to their propensity to be poor. Moreover, a strong persistence in poverty especially for women, individuals living alone and ethnic minorities is found. Finally, the estimates indicate that giving social assistance tends to reduce poverty.