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

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