Προβλέποντας την ηλικία συνταξιοδότησης βάσει της απασχόλησης σε χώρες της Ευρώπης

Μανάρα, Αργυρώ

Predicting age at retirement by employment status in European countries

Master Thesis

Author

Μανάρα, Αργυρώ

Date

2022-10

Abstract

This study aims to investigate factors related to retirement age. More specifically, it is considered whether demographic, social, work-related and health-related factors affect retirement age or not, in European countries. In the first chapter, we discuss the characteristics concerning the pension systems and we analyze their current and future adequacy. Moreover, related bibliographic findings are presented and a description of the problems which affect the financial sustainability of pension systems is given. In conclusion, we mention important reforms which were submitted to several European pension systems and some proposals which will lead to pension adequacy in the future. In the following chapters, data from the SHARE survey are used in order to carry out the statistical processing and analysis and to reach conclusions in relation to the retirement age. Specifically, the second chapter presents the results of the descriptive statistics, one-dimensional and two-dimensional, through frequency tables and independence tests. In the third chapter, through logistic regression models, our study explores whether demographic and social factors as well as health factors and working conditions affect retirement age. In the fourth chapter, the factors that affect retirement age are further investigated, using polynomial regression models. Finally, in the fifth chapter, a conclusion based on the analysis of the available data is presented. Interesting remarks emerge in relation to retirement age and how demographic factors such as gender, years of education and country of residence affect it. An interesting finding is that health-related factors seem not to affect retirement age. In contrast, some of the work-related factors have statistically significant effect on retirement age.

Postgraduate Studies Programme

Αναλογιστική Επιστήμη και Διοικητική Κινδύνου

Department

Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής Επιστήμης

Number of pages

106

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/14784
http://dx.doi.org/10.26267/unipi_dione/2206

Collections

Τμήμα Στατιστικής και Ασφαλιστικής Επιστήμης

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα