PhD: The value and costs of unpaid care for older people in China

This project assesses the monetary value and financial impacts associated with the provision of unpaid care for older people in China. Focus will be placed on deriving estimates using the well-being valuation method using responses from life satisfaction for one-child households in comparison with two-or-more-child households. The study will also explore the determinants of the provision of care and of value, by assessing the impact of care heterogeneity (duration, frequency, type) and whether health behaviours mitigate impacts. 

The study uses existing household-level secondary datasets, such as the Chinese Health and Retirement Longitudinal Study (CHARLS), and other similar datasets. The findings from the study will contribute to social care and well-being policy developments regarding improved support for unpaid carers.

PhD Student: Huixuan Gao

Supervisors: Paul McNamee and Attakrit Leckcivilize