储蓄行为与健康:基于英国面板数据的高维贝叶斯分析

Saving behaviour and health: A high-dimensional Bayesian analysis of British panel data

European Journal of Finance · 2021
被引 8
ABS 3

中文导读

开发了一种两阶段高维贝叶斯模型,利用英国面板数据中的生物标志物,分析健康对储蓄决策和储蓄金额的不同影响,发现健康显著影响储蓄行为,且客观健康指标与主观健康指标的影响不同。

Abstract

We develop a two-part high-dimensional Bayesian modelling approach to analyse the relationship between saving behaviour and health. In contrast to the existing literature, our approach allows different data-generating processes for the decision to save and the amount saved, and therefore unveils a more detailed picture of the relationship between financial behaviour and health than previous work. We explore different measures of saving, including monthly saving behaviour and the stock of financial assets held. Further, we exploit British panel data, which includes an extensive range of biomarkers. Our second contribution lies in comparing the effects of these objective measures of health with commonly used self-assessed health measures. We find that health is a significant determinant of saving behaviour and financial asset holding, and that biomarker measures have differential impacts on saving behaviour compared to self-reported health measures.

储蓄行为健康经济学贝叶斯方法面板数据分析