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-Verlag, Berlin, pp. 155-175, DOI:10.1007/978-3-642-02190-9\_8. Scherer S., 2001, Early career patterns: a comparison of Great Britain and West Germany , European Sociological Review, 17(2), pp. 119-144. Singer J.D., Willett J.B., 2003, Applied longitudinal data analysis: Modeling change and event occurrence, Oxford, UK, Oxford University Press. Social Diagnosis, 2015, Objective and Subjective Quality of Life in Poland , Czapinski J., Panek T. (eds.), Warszawa, Social Monitoring Council (22.11.2017), http://www.diagnoza.com/index-en.html . Tueller S.J., 2017, l ongCatEDA

. (2000). Mobility of older people and their quality of life. Transport Policy , 7 (2), 149-152. https://doi.org/10.1016/S0967-070X(00)00004-4 Miller, T. (2001). Increasing longevity and medicare expenditures. Demography , 38 (2), 215-226. https://dx.doi.org/10.1353/dem.2001.0018 Murphy, M. (2017). Demographic determinants of population aging in Europe since 1850. Population and Development Review , 43 (2), 257-283. https://doi.org/10.1111/padr.12073 R Core Team. (2019). R: A language and environment for statistical computing, R foundation for statistical

approach with competing risks, Real Estate Economics, 30(4), pp. 595-633. Cox D., 1972, Regression models and life-tables , Journal of the Royal Statistical Society. Series B (Methodological), 34(2), pp. 187-220. Cox D., Oakes D., 1984, Analysis of Survival Data , Chapman and Hall. Crowder M., 2001, Classical Competing Risks , CRC Press, London. Deng Y., Quigley J., Van Order R., 2000, Mortgage termination, heterogeneity, and the exercise of mortgage options , Econometrica, 68(2), pp. 275-307. Fine J.P., Gray R.J., 1999, A proportional hazards model for the