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The State Pension Age and Inequality in Old-age Social Security Wealth in the Netherlands

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  • Adriaan Kalwij
  • Arie Kapteyn

Abstract

Since the early 2010s, the state pension age (SPA) is one of the main public policy instruments in the Netherlands for inducing people to postpone retirement. The SPA has gradually increased from 65 years in 2012 to 66 years and 4 months in 2021. In the context of the Dutch old-age social security system, an increase in the SPA is hypothesized to decrease the retirement probability and to increase inequality in pension benefits entitlements. Empirical support for the two hypotheses is found with data on individuals aged 55–69 over the period 2011-2021. Inequality in old-age social security wealth has increased after 2015 for non-retirees. However, the findings do not support that this increase is because of the SPA increase.

Suggested Citation

  • Adriaan Kalwij & Arie Kapteyn, 2025. "The State Pension Age and Inequality in Old-age Social Security Wealth in the Netherlands," NBER Working Papers 34569, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:34569
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    References listed on IDEAS

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    1. Adriaan Kalwij, 2014. "An empirical analysis of the importance of controlling for unobserved heterogeneity when estimating the income-mortality gradient," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(30), pages 913-940.
    2. Vesile Kutlu-Koc & Adriaan Kalwij, 2017. "Individual Survival Expectations and Actual Mortality: Evidence from Dutch Survey and Administrative Data," European Journal of Population, Springer;European Association for Population Studies, vol. 33(4), pages 509-532, October.
    3. Michael D. Hurd & Daniel McFadden & Angela Merrill, 2001. "Predictors of Mortality among the Elderly," NBER Chapters, in: Themes in the Economics of Aging, pages 171-198, National Bureau of Economic Research, Inc.
    4. Adriaan Kalwij & Arie Kapteyn & Klaas Vos, 2010. "Retirement of Older Workers and Employment of the Young," De Economist, Springer, vol. 158(4), pages 341-359, November.
    5. Kalwij, Adriaan & Alessie, Robertus & Gardner, Jonathan & Ali, Ashik Anwar, 2018. "Inflation experiences of retirees," Journal of Pension Economics and Finance, Cambridge University Press, vol. 17(1), pages 85-109, January.
    6. Lipowicz, Anna & Szklarska, Alicja & Mitas, Andrzej W., 2016. "Biological costs of economic transition: Stress levels during the transition from communism to capitalism in Poland," Economics & Human Biology, Elsevier, vol. 21(C), pages 90-99.
    7. Nagore García, Amparo & van Soest, Arthur, 2022. "How does an allowance for a non-working younger partner affect the retirement behaviour of couples?," Journal of Pension Economics and Finance, Cambridge University Press, vol. 21(4), pages 582-612, October.
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    • H0 - Public Economics - - General

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