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Zur Anhebung der Altersgrenzen: Eine Simulation der langfristigen Auswirkungen auf die gesetzliche Rentenversicherung bei unterschiedlichem Renteneintrittsverhalten

Author

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  • Tabea Bucher-Koenen

    ()

  • Christina Benita Wilke

    (Munich Center for the Economics of Aging (MEA))

Abstract

Die Anhebung des Regelrentenalters ist ein weiterer Schritt im Rahmen der Reformen der gesetzlichen Rentenversicherung in Deutschland. Die Wirkung dieser Maßnahme hängt entscheidend vom Reaktionsverhalten der betroffenen Erwerbstätigen ab. In diesem Beitrag simulieren wir die langfristigen finanziellen Auswirkungen der Altersgrenzenanhebung bis 2050 abhängig vom Reaktionsverhalten der Betroffenen und unter Berücksichtigung von Rückkopplungseffekten mit dem Arbeitsmarkt. Insgesamt führt die Altersgrenzenanhebung zu einem geringeren Anstieg des Beitragssatzes sowie einem geringeren Rückgang des Rentenniveaus. Je nach Veränderung des Renteneintrittsverhaltens liegt der Effekt bis 2050 zwischen 0,7 und 1,0 Beitragssatzpunkte bzw. 0,8 bis 1,1 Prozentpunkten des Bruttorentenniveaus. Auf der individuellen Ebene kann ein Rückgang des Alterseinkommens deutlich durch eine Anpassung des Erwerbsverhaltens beeinflusst werden.

Suggested Citation

  • Tabea Bucher-Koenen & Christina Benita Wilke, 2008. "Zur Anhebung der Altersgrenzen: Eine Simulation der langfristigen Auswirkungen auf die gesetzliche Rentenversicherung bei unterschiedlichem Renteneintrittsverhalten," MEA discussion paper series 08159, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  • Handle: RePEc:mea:meawpa:08159
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    References listed on IDEAS

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    1. Andrew B. Abel, 2003. "The Effects of a Baby Boom on Stock Prices and Capital Accumulation in the Presence of Social Security," Econometrica, Econometric Society, vol. 71(2), pages 551-578, March.
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    3. Andrew B. Abel, 2001. "The Effects of Investing Social Security Funds in the Stock Market When Fixed Costs Prevent Some Households from Holding Stocks," American Economic Review, American Economic Association, vol. 91(1), pages 128-148, March.
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    5. Author-Name: John Geanakoplos & Michael Magill & Martine Quinzii, 2004. "Demography and the Long-Run Predictability of the Stock Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(1), pages 241-326.
    6. Paul A. Samuelson, 2011. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," World Scientific Book Chapters,in: THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, chapter 31, pages 465-472 World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Valentin Vogt & Jörg Althammer, 2016. "Linking Retirement Age to Life Expectancy in a Bismarckian System - The Case of Germany," National Institute of Economic and Social Research (NIESR) Discussion Papers 465, National Institute of Economic and Social Research.
    2. Kallweit Manuel, 2009. "Rentenreform und Rentenzugangsentscheidung – Eine numerische Gleichgewichtsanalyse / Pension Reform and Endogenous Retirement – a Computable General Equilibrium Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(4), pages 426-449, August.

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