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Az öregségi nyugdíjasok halandósága. A nyugellátási összeg, a nyugdíjazási életkor és a halandóság összefüggései Magyarországon, 2004-2012
[Mortality of old-age pensioners. Association among the amount of pension, age at retirement and mortality between 2004 and 2012 in Hungary]

Author

Listed:
  • Molnár, D. László
  • Hollósné Marosi, Judit

Abstract

A társadalmi egyenlőtlenségeknek a népesség halandóságára gyakorolt hatása igazolt, a hazai és nemzetközi irodalomban jól ismert összefüggés. Tanulmányunkban kiszámítottuk a teljes időtartamú halandósági táblázatokat - a halálozási valószínűségek és a várható élettartamok szerint a nyugdíjak nagysága és a nyugdíjazási életkorok függvényében. A hagyományos halandósági táblázatokon túl a halandóságot befolyásoló tényezők hatását Cox-regresszióval, illetve Aalen-féle additív hazárd modell segítségével vizsgáltuk meg részletesen. Az öregségi nyugdíjasok halandósága mindhárom vizsgált évben (2004, 2010, 2012) kedvezőbbnek bizonyult a magyarországi néphalandóságnál. A 2012. évi adatok vizsgálata igazolta, hogy az öregségi nyugdíjas férfiak között a nyugdíjösszeg nagysága és a nyugdíjba meneteli kor is befolyásolja a halálozási kockázatot és a várható élettartamot. Cox-regresszióval igazolható volt, hogy a férfiak között a magasabb nyugdíj és a későbbi nyugdíjba menetel kedvezőbb életkilátásokkal jár együtt. A nők között ezek az összefüggések nem voltak ennyire egyértelműek, illetve csak bizonyos életszakaszokban voltak igazolhatók. Journal of Economic Literature (JEL) kód: J26

Suggested Citation

  • Molnár, D. László & Hollósné Marosi, Judit, 2015. "Az öregségi nyugdíjasok halandósága. A nyugellátási összeg, a nyugdíjazási életkor és a halandóság összefüggései Magyarországon, 2004-2012 [Mortality of old-age pensioners. Association among the am," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1258-1290.
    • Handle: RePEc:ksa:szemle:1599
    DOI: 10.18414/KSZ.2015.12.1258
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    References listed on IDEAS

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    1. Jeffrey B. Liebman, 2002. "Redistribution in the Current U.S. Social Security System," NBER Chapters, in: The Distributional Aspects of Social Security and Social Security Reform, pages 11-48, National Bureau of Economic Research, Inc.
    2. Robin Henderson & Alvin Milner, 1991. "Aalen Plots Under Proportional Hazards," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(3), pages 401-409, November.
    3. Hilbe,Joseph M., 2014. "Modeling Count Data," Cambridge Books, Cambridge University Press, number 9781107028333.
    4. David W.Hosmer & Patrick Royston, 2002. "Using Aalen's linear hazards model to investigate time-varying effects in the proportional hazards regression model," Stata Journal, StataCorp LP, vol. 2(4), pages 331-350, November.
    5. Tammy Harris & Joseph M. Hilbe & James W. Hardin, 2014. "Modeling count data with generalized distributions," Stata Journal, StataCorp LP, vol. 14(3), pages 562-579, September.
    6. Lahelma, Eero & Valkonen, Tapani, 1990. "Health and social inequities in Finland and elsewhere," Social Science & Medicine, Elsevier, vol. 31(3), pages 257-265, January.
    7. Mario Cleves & William W. Gould & Roberto G. Gutierrez & Yulia Marchenko, 2010. "An Introduction to Survival Analysis Using Stata," Stata Press books, StataCorp LP, edition 3, number saus3, March.
    8. P. Eső & A. Simonovits & J. Tóth, 2011. "Designing benefit rules for flexible retirement: Welfare vs. redistribution," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 61(1), pages 3-32, March.
    9. Sean Becketti, 2013. "Introduction to Time Series Using Stata," Stata Press books, StataCorp LP, number itsus, March.
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    Citations

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    Cited by:

    1. Simonovits, András, 2018. "Miért kell a nyugdíj-valorizálást és -indexálást pontrendszerrel felváltani? [Why should valorisation and indexing pensions be replaced by a points system?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 903-922.
    2. Simonovits, András & Szabó, Endre & Czeglédi, Tibor & Tir, Melinda, 2016. "Nyugdíjba vonulási szabályok Magyarországon - nyertesek és vesztesek [Retirement rules in Hungary: gainers and losers]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1261-1288.
    3. Simonovits, András, 2019. "Merev vagy rugalmas nyugdíjkorhatár? Áttekintés [Rigid versus flexible retiring age: a survey]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 345-375.
    4. László, Csaba, 2018. "A magánnyugdíjpénztári rendszer "elszámolása" ["Reckoning up" the private pension system]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 861-902.
    5. Simonovits, András, 2018. "Hogyan tervezzük a nyugdíjjáradék-függvényt, ha a halandóság a kereset csökkenő függvénye? [Designing pension-benefit schedules when longevities increase with wages]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 831-846.
    6. Simonovits, András, 2020. "A magyar nyugdíjrendszer középtávú feszültségei [The middle-term tensions of the Hungarian pension system]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 456-473.
    7. Simonovits, András & Lackó, Mária, 2021. "A várható élettartam-jövedelem kapcsolat egyszerű ökonometriai becslése - újraelosztás a nyugdíjrendszerben [A simple estimate of the longevity gap and redistribution in the pension system]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1162-1170.
    8. Simonovits, András, 2017. "Az elfelejtett nyugdíjdegresszió [The forgotten pension degression]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 650-660.

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    JEL classification:

    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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