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.

我们开发了一种两部分的高维贝叶斯建模方法来分析储蓄行为与健康之间的关系。与现有文献相比，我们的方法允许不同的数据生成过程来决定储蓄和储蓄金额，因此比以前的工作更详细地揭示了金融行为与健康之间的关系。我们探索不同的储蓄衡量标准，包括每月储蓄行为和持有的金融资产存量。此外，我们利用英国面板数据，其中包括广泛的生物标志物。我们的第二个贡献在于将这些客观的健康措施与常用的自我评估健康措施的效果进行比较。我们发现健康是储蓄行为和金融资产持有的重要决定因素，