Εκτίμηση βιομετρικών συναρτήσεων πινάκων επιβίωσης κατά κοινωνικοοικονομικό επίπεδο από στοιχεία δειγματοληπτικών ερευνών : μέθοδοι και εφαρμογές
Estimating biometric functions of life tables by socioeconomic status using sampling survey data : methods and applications
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Κοινωνικοοικονομικό επίπεδο ; Θνησιμότητα ; SHARE ; Βιομετρικές συναρτήσειςAbstract
It is well known that there are significant socioeconomic differences in mortality levels. However, the existing survival tables refer to the total population, given the lack of relevant information in death registration data. This work will explore methods of estimating mortality levels by socio-economic level using data from sample surveys (longitudinal and panel) and will estimate mortality levels for people aged 50 and over using panel data from the SHARE survey (Survey of Health, Aging and Retirement in Europe).
The analysis focused on the respondents of the 2nd wave of the survey, taking into account deaths that occurred until the 9th wave (2021). The results of the survey showed agreement with previous similar research, especially regarding the social and economic status of the citizens. Sharp differences in mortality levels and in quality of life were found between affluent and non-affluent citizens as well as between citizens with a higher and lower educational level. It was also found that women live longer than men.