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Can Social Security be welfare improving when there is demographic uncertainty?

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  • Virginia Sanchez-Marcos & Alfonso Sanchez Martin

Abstract

This paper studies the welfare implications of a PAYG pension system in a neoclassical growth model with overlapping generations, demographic uncertainty and sequentially incomplete markets. In absence of public pensions, small cohorts tend to be favored by the changes in relative prices implied by demographic shocks. As described in Bohn (1999), PAYG Define Benefit systems can help to share the financial risks created by demographic uncertainty across the generations. The overall welfare impact depends on the balance between this insurance effect and the well known crowding-out effect stemming from the unfunded character of the system. Therefore, the question about the total welfare impact of PAYG pensions is intrinsically quantitative. In this paper we use a four-periods OLG model calibrated to the US economy to provide a first quantitative assessment of the relative size of the different effects involved.The findings are unfavorable for PAYG pension systems: the size of the crowding-out effect is large enough to offset the benefits from risk sharing, making the introduction of public pensions a welfare decreasing process (even in ex-ante terms). In particular, with a marginal PAYG pension scheme (providing a 2\% replacement rate of the average wage) small cohorts lose the equivalent to a 1.9% of their consumption in the age interval 20/40, while larger cohorts loss is 1.5%.

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  • Virginia Sanchez-Marcos & Alfonso Sanchez Martin, 2004. "Can Social Security be welfare improving when there is demographic uncertainty?," Computing in Economics and Finance 2004 163, Society for Computational Economics.
  • Handle: RePEc:sce:scecf4:163
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    Cited by:

    1. Oliwia Komada & Krzysztof Makarski & Joanna Tyrowicz, 2017. "Welfare effects of fiscal policy in reforming the pension system," GRAPE Working Papers 11, GRAPE Group for Research in Applied Economics.
    2. Boldrin, Michele & Montes, Ana, 2015. "Modeling an immigration shock," European Economic Review, Elsevier, vol. 74(C), pages 190-206.
    3. Alexander Ludwig & Michael Reiter, 2010. "Sharing Demographic Risk--Who Is Afraid of the Baby Bust?," American Economic Journal: Economic Policy, American Economic Association, vol. 2(4), pages 83-118, November.
    4. Jiang, Yunyun & Zhao, Tianhao & Zheng, Haitao, 2021. "Population aging and its effects on the gap of urban public health insurance in China," China Economic Review, Elsevier, vol. 68(C).
    5. Miyazato, Naomi, 2010. "The optimal size of Japan's public pensions: An analysis considering the risks of longevity and volatility of return on assets," Japan and the World Economy, Elsevier, vol. 22(1), pages 31-39, January.
    6. Hans Fehr, 2009. "Computable Stochastic Equilibrium Models and Their Use in Pension- and Ageing Research," De Economist, Springer, vol. 157(4), pages 359-416, December.
    7. Shin, Inyong, 2012. "The Effect of Pension on the Optimized Life Expectancy and Lifetime Utility Level," MPRA Paper 41374, University Library of Munich, Germany.
    8. Jan Hagemejer & Krzysztof Makarski & Joanna Tyrowicz, 2013. "Efficiency of the pension reform: the welfare effects of various fiscal closures," Working Papers 2013-23, Faculty of Economic Sciences, University of Warsaw.
    9. James Staveley-O'Carroll & Olena Staveley-O'Carroll, 2019. "International Welfare Spillovers of National Pension Schemes," Working Papers 1903, College of the Holy Cross, Department of Economics.
    10. Romp, Ward & Beetsma, Roel, 2020. "Sustainability of pension systems with voluntary participation," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 125-140.
    11. Inyong Shin, 2018. "Could pension system make us happier?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1452342-145, January.
    12. Peter Broer, 2012. "Social Security and Macroeconomic Risk in General Equilibrium," CPB Discussion Paper 221, CPB Netherlands Bureau for Economic Policy Analysis.
    13. Beetsma, R. & Romp, W., 2016. "Intergenerational Risk Sharing," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 311-380, Elsevier.
    14. Peter Broer, 2012. "Social Security and Macroeconomic Risk in General Equilibrium," CPB Discussion Paper 221.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Alexander Ludwig & Michael Reiter, 2008. "Sharing Demographic Risk – Who is Afraid of the Baby Bust?," MEA discussion paper series 08166, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    16. Roel Beetsma & Ward Romp, 2013. "Participation Constraints in Pension Systems," Tinbergen Institute Discussion Papers 13-149/VI, Tinbergen Institute.
    17. Clara Isabel González & J. Ignacio Conde-Ruiz & Michele Boldrin, 2008. "Immigration and Social Security in Spain," Working Papers 2008-36, FEDEA.
    18. Willem Heeringa, 2008. "Optimal life cycle investment with pay-as-you-go pension schemes: a portfolio approach," DNB Working Papers 168, Netherlands Central Bank, Research Department.
    19. Makarski, Krzysztof & Tyrowicz, Joanna & Komada, Oliwia, 2021. "Efficiency versus Insurance: Capital Income Taxation and Privatizing Social Security," IZA Discussion Papers 14805, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    social security; demographic uncertainty; general equilibrium; life-cycle model;
    All these keywords.

    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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