|Title||Quantifying self-rated age.|
|Publication Type||Journal Article|
|Year of Publication||2022|
|Authors||Verropoulou, G, Papachristos, A, Ploubidis, GB, Tsimbos, C|
|Keywords||Biological age, HMD, self-rated age, SHARE, Subjective age, subjective ageing indicator, Subjective survival probabilities|
Chronological age, in conjunction with population life tables, is widely used for estimating future life expectancy. The aims of this study are to estimate a subjective ageing indicator, namely self-rated age, and to evaluate its concurrent validity in comparison with other age indicators: subjective survival probabilities, subjective age, and biological age. We use data from the Wave 6 of the Survey of Health, Ageing and Retirement in Europe, Wave 12 of the Health and Retirement Study in the United States, and life tables from the Human Mortality Database. For the statistical analysis we use multinomial regression models. Our results indicate that health status and frequency of physical activities imply similar patterns of self- rated age, subjective survival probabilities, subjective age, and biological age. However, the impact of cognitive function differs by geographical region. Self-rated age can be interpreted as a subjective adjustment that better reflects the ageing process.